CN109154939A

CN109154939A - The system and method generated for automated content polymerization

Info

Publication number: CN109154939A
Application number: CN201780029651.5A
Authority: CN
Inventors: 肖恩·约克; 蒂姆·斯图尔特; 戴维·斯特朗; 斯科特·赫尔曼; 威廉·莫里; 布瑞恩·莫里亚蒂; 马克·波特; 安吉拉·麦卡利斯特
Original assignee: Pearson Education Inc
Current assignee: Pearson Education Inc
Priority date: 2016-04-08
Filing date: 2017-03-28
Publication date: 2019-01-04
Also published as: EP3440556A4; EP3440556A1; WO2017176496A1

Abstract

The present invention provides for creating content-aggregated system and method.The system may include memory, and the memory has content data base and polymerized data base.The system may include the user equipment with first network interface and the first input/output subsystem.The system may include the server for being able to carry out following operation: provide content to the user equipment via the first electric signal；The selection of a part of the content of the offer is provided via the second electric signal from the user equipment；Sentence is automatically extracted from the selected part of the content of the offer via natural language processor；Parsing tree is automatically generated for a sentence in the sentence automatically extracted；From the part of speech tag recognition noun phrase in the parsing tree；In content-aggregated middle placement content associated with a noun phrase in the noun phrase；And content-aggregated the user equipment is output to for described.

Description

The system and method generated for automated content polymerization

Background technique

Computer network or data network are the telecommunication networks for allowing computer to exchange data.In a computer network, net It is exchanging data with one another along network link (data connection) that network calculates equipment.Connection between node uses cable dielectric or wireless Jie Matter is established.Most well-known computer network is internet.

The network computer devices of generation, routing and termination data are known as network node.Node may include host such as Personal computer, phone, server and the network hardware.When an equipment can be with another devices exchange information, no matter Whether they have each other is directly connected to, it may be said that two such equipment are networked together.

Computer network in terms of the transmission medium for carrying its signal i.e. for tissue network flow communication protocol, Size, topology and the tissue of network are intended to different.In most cases, in addition to directly handle transmission medium physical layer it Outside, communication protocol is in other more specific or more general communication protocol higher slices.

Summary of the invention

An aspect of this disclosure is related to the system for content-aggregated creation.The system may include memory, memory It include: the content data base including content related with common theme；And polymerized data base.In some embodiments, it polymerize It is content-aggregated that database can store one or several.The system may include user equipment, and user equipment includes can be via The first network interface of communication network exchange data；And first input/output subsystem, the input/output subsystem can be through The scrutable output of user is converted electrical signals to by user interface.The system may include processor, and processor can be with: pass through through Content is provided from the first electric signal that communication network transmits to user equipment；Pass through the second electric signal transmitted via communication network The selection of a part of the content provided is provided from user equipment；Via natural language processor selecting from provided content Part automatically extracts sentence；Parsing tree is automatically generated for one in the sentence automatically extracted, multiple branches of the parsing tree It is associated with part of speech label；From the part of speech tag recognition noun phrase in parsing tree；It is short with noun in content-aggregated middle placement An associated content in language；And this content-aggregated is output to user equipment.

In some embodiments, server can recognize the subset of noun phrase, and wherein the subset of noun phrase includes rationality Phrase.In some embodiments, based at least one of following identification rationality phrase: size；Or the presence of triggering attribute. It in some embodiments, include: the words quantity automatically determined in noun phrase based on size identification rationality phrase；Retrieve size Threshold value；Words quantity in noun phrase is compared with size threshold value；It, will and when words quantity is less than size threshold value First Boolean is associated with noun phrase；When words quantity is greater than size threshold value, by the second Boolean and noun phrase phase Association.

In some embodiments, triggering attribute can be number.In some embodiments, processor can further polymerize Storage content polymerize in database.In some embodiments, content be placed on for each rationality phrase it is content-aggregated in. It in some embodiments, include: the root of discriminance analysis tree from the part of speech tag recognition noun phrase in parsing tree；It is proceeded to from root One in multiple branches of parsing tree；Retrieval with an associated part of speech label in multiple branches of parsing tree, and It identifies and an associated part of speech label in multiple branches of parsing tree.In some embodiments, from the word in parsing tree Property tag recognition noun phrase further include repeating step (a) to (d) for each of multiple branches of parsing tree.

In some embodiments, it will be placed in content-aggregated with an associated content in noun phrase and include: At least one words of noun phrase is appointed as extracting；It is in by removing to extract generate noun phrase from noun phrase Now part；The presentation part of noun phrase is stored in polymerized data base；And it stores and extracts in polymerized data base.One In a little embodiments, extract associated with part is presented.

In some embodiments, at least one words is appointed as extracting via random number generator.In some realities It applies in example, it includes: the part of speech for identifying each words in noun phrase that at least one of noun phrase, which is appointed as extracting,；Retrieval Extracting parameter, the extracting parameter identify at least one part of speech for being used to potentially identify as extraction；According to extracting parameter by name Words identification in word phrase for potentially identifying is as extraction；And according to extracting parameter, known in future autonymy phrase The extraction of other words for potentially identifying is appointed as extracting.In some embodiments, processor can gather characterization content The label of conjunction is associated with content-aggregated a part.

An aspect of this disclosure is related to a kind of for creating content-aggregated method.This method comprises: by via logical First electric signal of communication network transmission provides content to user equipment；By the second electric signal for being transmitted via communication network from Family equipment receives the selection of a part of the content provided；Via natural language processing from the selected part of provided content from It is dynamic to extract sentence；Parsing tree is automatically generated for one in the sentence automatically extracted；From the part of speech tag recognition in parsing tree Noun phrase；In content-aggregated middle placement and an associated content in noun phrase；And by via communication network The third electric signal of transmission is output to user equipment for content-aggregated.In some embodiments, the multiple point of the parsing tree Each of branch is associated with part of speech label.

In some embodiments, content is supplied to user equipment from content data base, and content data base includes and leads jointly Inscribe relevant content.In some embodiments, user equipment includes: that can connect via the first network that communication network exchanges data Mouthful；And first input/output subsystem, the input/output subsystem can convert electrical signals to user via user interface Scrutable output.In some embodiments, this method includes identifying the subset of noun phrase.In some embodiments, noun The subset of phrase includes rationality phrase.It in some embodiments, include: that automatically determine noun short based on size identification rationality phrase Words quantity in language；Retrieve size threshold value；Words quantity in noun phrase is compared with size threshold value；And work as word It is when word quantity is less than size threshold value, the first Boolean is associated with noun phrase；It, will when words quantity is greater than size threshold value Second Boolean is associated with noun phrase.

It in some embodiments, include: the root of discriminance analysis tree from the part of speech tag recognition noun phrase in parsing tree；From Root proceeds to one in multiple branches of parsing tree；It retrieves and an associated part of speech mark in multiple branches of parsing tree Label, and identify and an associated part of speech label in multiple branches of parsing tree.It in some embodiments, will be with noun It includes: to be appointed as mentioning by least one words of noun phrase that an associated content in phrase, which is placed in content-aggregated, It takes；The presentation part of noun phrase is generated by removing extraction from noun phrase；The presentation part of noun phrase is stored In polymerized data base；And extraction is stored in polymerized data base, wherein extracting associated with part is presented.

An aspect of this disclosure is related to a kind of for assessing content-aggregated method.This method comprises: from content library number Content-aggregated according to library searching, it includes that part and extraction part is presented that this is content-aggregated；If based on according to content-aggregated one or The attribute of dry identification generates content-aggregated that component selections are content-aggregated；From content-aggregated extraction content characteristic, the content is special Sign includes at least one counting of at least one words type；From model database retrieval model such as statistical model；And lead to It crosses and content characteristic input statistical model is generated into assessment result, assessment result is the output of statistical model.

An aspect of this disclosure is related to a kind of for assessing content-aggregated method.This method comprises: at one or more User identifier is received from user equipment at a server；User is identified using one or more of servers；Receive assessment Request, the assessment request define one group it is content-aggregated；It is content-aggregated to retrieve the group；Retrieve one group of content-aggregated phase with definition Associated object network data, the object network data identify multiple topics；By one group of retrieval content-aggregated pair with retrieval As network data is compared；Identification polymerization gap；And generate and send an alert to the user equipment for identifying the polymerization gap. In some embodiments, identification polymerization gap includes holding in polymerization not having in corresponding in this group in identification object network data Hold the topic of polymerization.

An aspect of this disclosure is related to the method for the Content supply based on decaying.This method comprises: identification user；From interior Hold library database retrieval task data, which identifies one or several tasks, and the user task data identify For completing one or several grade of skill of one or several tasks；One or several the users ' skills of retrieval etc. The user of grade grasps grade；Determine the decay profiles of user, wherein decay profiles include moving back for the users ' skills grade The statistical model of change；Grade is grasped based on the user of retrieval and the decay profiles determined determine the grasp etc. of decaying modification Grade；Grasp grade identification based on decaying modification is multiple content-aggregated for what is delivered to user；And via user equipment to User provides multiple content-aggregated.

According to detailed description provided below, the applicable other field of the present invention be will be evident.It should be appreciated that showing The detailed description and specific example provided while various embodiments out is intended only for illustration purpose, and is not intended to inevitably It limits the scope of the invention.

Detailed description of the invention

Fig. 1 is the exemplary block diagram for showing content distributing network.

Fig. 2 is the computer server shown in content distributing network and the block diagram for calculating environment.

Fig. 3 is the block diagram for showing the embodiment of one or more data storage servers in content distributing network.

Fig. 4 is the block diagram for showing the embodiment of one or more content management servers in content distributing network.

Fig. 5 is the block diagram for showing the physical unit and logical block of the dedicated computing machine equipment in content distributing network.

Fig. 6 is the block diagram for showing one embodiment of communication network.

Fig. 7 is the block diagram for showing one embodiment of user equipment and the communication of superintendent's equipment.

Fig. 8 is the schematic diagram for calculating one embodiment of storehouse.

Fig. 9 A to Fig. 9 C is the schematic diagram of the communication of content distributing network internal module and the embodiment of process flow.

Figure 10 A is the flow chart for showing one embodiment of data management processes.

Figure 10 B is the flow chart for showing one embodiment of the process for assessment response.

Figure 11 is the flow chart for showing one embodiment of auto-polymerization delivery process.

Figure 12 is the flow chart for showing one embodiment of process of the Content supply based on decaying.

Figure 13 is the flow chart for showing the one embodiment for the process that automated content polymerization generates.

Figure 14 is the flow chart for showing one embodiment of process of the noun phrase in automatic identification parsing tree.

Figure 15 is the flow chart for showing one embodiment of the process for automatically creating rationality phrase subset.

Figure 16 is the flow chart for showing the one embodiment for the detailed process that automated content polymerization generates.

Figure 17 is the flow chart for showing one embodiment of process of automated content polymerization assessment.

Figure 18 is the flow chart for showing one embodiment for assessing one group of content-aggregated process automatically.

In the accompanying drawings, similar component and/or feature can have identical appended drawing reference.In addition, can be by attached drawing The second label after label plus hyphen and for distinguishing like is to be distinguish the various parts of same type.Only The first appended drawing reference has been used in the description, and description is suitable for any similar department with identical first appended drawing reference Part, without considering the second appended drawing reference.

Specific embodiment

Following description only provides one or more exemplary embodiments, and is not intended to limit the scope of the invention, be applicable in Property or framework.On the contrary, hereafter implementation preferable example will be provided for those of skill in the art to the description of exemplary embodiment Property embodiment operability description.It should be appreciated that stated in not departing from appended claims spirit and scope in the case where, Various changes can be made to the function and arrangement of element.

Referring now to Figure 1, this diagram show realize and support some embodiments described herein it illustrates a block diagram With the various parts of the content distributing network (CDN) 100 of feature.In some embodiments, content distributing network 100 may include One or several physical units and/or one or several virtual components such as one or several cloud computing components.One In a little embodiments, content distributing network 100 may include the mixing of physics and cloud computing component.

Content distributing network 100 may include one or more content management servers 102.As discussed in more detail below, Content management server 102 can be it is any needed for type server, including for example rack-mount server, tower server, Micro server, blade server, mini rack-mount server, Mobile Server, super intensive services device, superserver Deng, and may include various hardware componenies, such as motherboard, processing unit, storage system, hard disk drive, network interface, electricity Source etc..Content management server 102 may include one or more server zones, cluster or any other it is appropriate arrangement and/ Or the combination of computer server.Content management server 102 can be according to the institute in the memory sub-system for being located at server 102 The instruction of storage operates, and can run operating system, including any commercially available server operating system and/or described herein Any other operating system.

Content distributing network 100 may include one or more data storage servers 104, such as database server and base In the storage system of file.Database server 104 is storable in the data on various hardware componenies.These Hardware Subdivisions Part may include for example formed the 0th layer storage component, formed the 1st layer storage component, formed the 2nd layer storage component and/or Form the component of any other accumulation layer.In some embodiments, the 0th layer of storage refers to most fast in database server 104 Accumulation layer, in particular, the 0th layer of most fast storage for being stored as non-RAM or non-cache memory.In some embodiments In, the 0th layer of memory may be implemented in solid-state memory such as solid state drive (SSD) and/or flash memories.

In some embodiments, the 1st layer of storage refers in storage management system as one or several superior performances System storage, its than the 0th layer memory is relatively slow and more relatively fast than other memory layers.1st layer of memory can To be one or several hard disks, such as high-performance hard disk can be.These hard disks can for example pass through one or several light Fine channel physically or communicatedly or physically and communicatedly connects.In some embodiments, one or several disks It can be arranged in disk storage system, in particular, can be arranged in enterprise-level disk storage system.Disk storage system It may include the redundancy of any required rank to protect the data wherein stored, and in one embodiment, disk storage system It can be realized using evenly distributing with the mesh architecture of the concurrency of data equiblibrium mass distribution for generation system resource.

In some embodiments, compared with the 1st layer of storage and the 2nd layer of storage, the 2nd layer of storage refers in memory management system The storage of system in system including one or several relatively low performances.Therefore, the 2nd layer of memory than the 1st layer of memory and 0th layer of memory is relatively slow.2nd layer of memory may include one or several SATA drives or one or several NL- SATA drive.

In some embodiments, one or several hardware of database server 104 and/or software component can be arranged To one or several storage area networks (SAN), one or several storage area networks can be one or several A dedicated network provides the access to data repository, specifically provides the access to unified block grade data repository. SAN usually has the storage device network of its own, generally can not be accessed by other equipment by local area network (LAN).SAN Allow to access these equipment in this way, so that these equipment seem be attached locally to user equipment.

Data storage 104 may include the data of storage relevant to the function of content distributing network 100.Below with reference to Fig. 3 The illustrated examples for the data repository 104 that can be kept in some embodiments of content distributing network 100 are described.In some realities Apply in example, multiple data repositories can reside on individual server 104, using server 104 identical storage unit or make Ensure the integrality between Information Security and data repository with different physical memory elements.In other embodiments, Each data repository can have independent exclusive data storage server 104.

Content distributing network 100 may also include one or more user equipmenies 106 and/or superintendent's equipment 110.User sets It can show for 106 and superintendent's equipment 110 via the received content of content distributing network 100, and can support user and content Various types of interactions.User equipment 106 and superintendent's equipment 110 may include mobile device, such as smart phone, plate electricity Brain, personal digital assistant and wearable computing devices.Such mobile device can run various Mobile operating systems, and for mutual Networking, Email, short message service (SMS),Mobile RFID (M-RFID) and/or other communication protocols View can be activated.Other users equipment 106 and superintendent's equipment 110 can be general purpose personal computer or dedicated computing equipment, Including such as personal computer, laptop computer, workstation computer, projection device and interactive room display system.This Outside, user equipment 106 and superintendent's equipment 110 can be can be communicated by one or more networks 120 it is any its His electronic equipment, such as thin client computer, game system, commercial or home electric appliance and/or the individual for enabling internet disappear Cease transmission equipment.

In the different contexts of content distributing network 100, user equipment 106 and superintendent's equipment 110 be can correspond to not It employee's equipment in the special equipment of same type, such as student's equipment and teacher's equipment, corporate networks in education network and drills Show equipment, game station different in gaming network etc..In some embodiments, user equipment 106 and superintendent's equipment 110 can It is operated in identical physical location 107 (such as, classroom or meeting room).In this case, the equipment may include support with Equipment (such as, wireless transceiver and wireless communication interface, Ethernet socket or other local area network (LAN) interfaces near other Deng) direct communication component.In other specific implementations, user equipment 106 and superintendent's equipment 110 are not needed in identical bits It sets and is used at 107, but can be used in mutually separate geographical location, wherein each user equipment 106 and superintendent's equipment 110 can Using security feature and/or specialized hardware (for example, hardware-accelerated SSL and HTTPS, WS-Security, firewall etc.), with Content management server 102 and/or the communication of other remote user equipments 106.In addition, different user equipmenies 106 and superintendent Equipment 110 can be assigned different assigned roles, demonstrator's equipment, teacher's equipment, manager device etc., and this In the case of, different equipment may be provided with additional hardware and/or software component to provide content and support other equipment can not User function.

Content distributing network 100 may also include privacy server 108, and the privacy server is using on other servers Private user information is kept while the application program or service of trustship at privacy server 108.For example, even if user Access is located at the application program on the server (for example, content management server 102) except compass of competency, privacy server 108 can be used for being maintained at the private data of the user in a compass of competency.In this case, privacy server 108 can block Cut the communication between user equipment 106 or superintendent's equipment 110 and other equipment including user's personal information.Privacy server 108 can create the token or identifier of underground personal information, and institute can be used when with other servers and system communication Token or identifier are stated, rather than uses the personal information of user.

As shown in Figure 1, content management server 102 can be with one or more Additional servers (such as, content servers 112, user data server 112 and/or registrar server 116) communication.Each of these servers may include with one Some or all of the identical physical unit of a or multiple content management servers 102 and logical block, and in certain feelings Under condition, the hardware and software component of these servers 112-116 may be incorporated into one or more content management servers 102, without It is implemented as independent computer server.

Content server 112 may include hardware and software component to generate, store and keep content resource, to be distributed to net User equipment 106 and other equipment in network 100.For example, in the content distributing network 100 for professional training and aims of education In, content server 112 may include training material, displaying, plan, syllabus, comment, assessment, interactive program and simulation, class Journey model, program content, and various training interfaces corresponding to different materials and/or different types of user equipment 106 Data repository.In the content distributing network 100 for distribution of media, interactive game etc., content server 112 may include matchmaker Body content file, such as music, film, TV programme, game and advertisement.

User data server 114 may include activity and content distributing network 100 of the storage and processing with each user Use the hardware and software component of the data of relevant multiple users.For example, content management server 102 is recordable and tracking is every The system of a user uses, including his or her user equipment 106, the content resource accessed, and with other users equipment 106 interaction.The data can be stored and processed by user data server 114, to support usertracking and analysis feature.Example Such as, in the training and education environment of profession, user data server 114 can store and analyze the training that each user is watched Material, the displaying participated in, the course of completion, interaction, assessment result etc..User data server 114 may also include for using The repository for the material (assessment and test such as, completed by user, and document and operation by user's preparation) that family generates. In distribution of media and the context of interactive game, the resource that user data server 114 can store and process multiple users is visited Ask data (for example, content title, access time, data usage amount, amusement history, user equipment and the device type of access Deng).

Registrar server 116 may include for other in content management server 102 and content distributing network 100 The hardware and software component of various management functions is initiated at component.For example, registrar server 116 can monitor content distributing network The equipment state and performance of various servers, data repository and/or user equipment 106 in 100.When needed, administrator Server 116 can add or delete equipment from network 100, and execute plant maintenance, and the equipment such as into network 100 provides Software upgrading.Various management tools on registrar server 116 allow authorized user's setting to the use of various content resources Family access authority monitors that the resource of user and equipment 106 uses, and execute analysis and generate about particular network user and/ Or the report (for example, resource uses tracking report, Training Evaluation etc.) of equipment.

Content distributing network 100 may include one or more communication networks 120.Although only identifying single network in Fig. 1 120, but content distributing network 100 may include any of computer server and equipment shown in Fig. 1 and/or this paper Any amount of different communication network between the other equipment.Communication network 120 can enable various calculating equipment, server Communication between the other component of content distributing network 100.As described below, the various specific implementations of content distributing network 100 Different types of network 120, such as computer network, telecommunication network, wireless network and/or these and or other nets can be used Any combination of network.

Content distributing network 100 can include: one or several navigation system or feature, including such as global positioning system (" GPS "), GALILEO etc.；Or position system or feature, including for example content distribution can be determined via such as triangulation One or several transceivers of the position of one or several components of network 100.It is all these to be described as navigation system 122。

In some embodiments, navigation system 122 may include one or several features, these features can be with content One or several component communications of distribution network 100, including for example with one or several user equipmenies 106 and/or with one The communication of a or several superintendent's equipment 110.In some embodiments, which may include transmitting signal from navigation system 122, The signal is received by one or several components of content distributing network 100, and is determined for content distributing network 100 One or several components position.

With reference to Fig. 2, shows example distributed and calculate environment 200 comprising 202, four clients of computer server End calculates equipment 206, and can realize the other component of some embodiments and feature described herein.In some embodiments, it takes Business device 202 can correspond to the above content management server 102 discussed in Fig. 1, and client computing device 206 can correspond to In user equipment 106.However, calculating environment 200 shown in Fig. 2 can correspond to be configured as realizing client-server model Or other distributing mode computer system structures equipment and server any other combination.

Client device 206 can be configured to receive and execute client application by one or more networks 220. Such client application can be application program and/or freestanding software application program based on web browser, such as move Dynamic appliance applications.Server 202 can be communicated to connect via one or more communication networks 220 with client device 206.Visitor Family end equipment 206 can receive visitor from server 202 or from other applications provider (for example, public or private application shop) The application of family end.Server 202 can be configured to run one or more server software applications or service, such as based on Web or service based on cloud, to support content distribution and the interaction with client device 206.Operate client device 206 User can successively using one or more client applications (for example, virtual client application program) and server 202 into Row interaction, to utilize the service provided by these components.

A variety of different subsystems and/or component 204 can be realized on server 202.Operate the use of client device 206 Family can initiate one or more client applications, to use by the service of these subsystems and component offer.Server 202 With in client device 206 subsystem and component can be realized in hardware, firmware, software or combinations thereof.In different distributions In formula computing system 200 and content distributing network 100, a variety of different system configurations are possible.Therefore, shown in Fig. 2 Embodiment is an example of distributed computing system, and is not intended to and is limited.

Though it is shown that there are four the exemplary computing environments 200 of client computing device 206 for tool, but can support any The client computing device of quantity.Other equipment sensor special equipment etc. can be with client device 206 and/or server 202 interact.

As shown in Fig. 2, various safety and integrated component 208 can be used for by one or more communication networks 220 send and Communication between management server 202 and user equipment 206.Safety and integrated component 208 may include independent server, such as Web server and/or certificate server and/or dedicated network element, such as firewall, router, gateway, load balancer Deng.In some cases, safety and integrated component 208 can correspond to the identical physical location of server 202 in identical reality The one group of specialized hardware and/or software operated under the control of body.For example, component 208 may include data center or cloud basis knot The dedicated web server of one or more of structure and the network hardware.In other examples, safety and integrated component 208 can correspond to In can be in independent physical location and/or by the independent hardware and software component of independent physical operation.

Safety and integrated component 208 can realize the various security features for data transimission and storage, such as certification user With limitation to unknown or unauthorized user access.In various specific implementations, safety and integrated component 208 can provide such as base Intergration model in file or the collection based on service for the transmission data between the various equipment in content distributing network 100 At scheme.Also safety data transmission agreement and/or data transmission encryption, such as file can be used to pass for safety and integrated component 208 Defeated agreement (FTP), Secure File Transfer Protocol (SFTP) and/or pretty good privacy (PGP) encryption.

In some embodiments, one or more web services can be in safety and integrated component 208 and/or in content point Realization elsewhere in hairnet network 100.Such service includes cross-domain and/or cross-platform web services and/or is taken according to Web The web services for interoperability (WS-I) guide design of being engaged in, can be according to various web services standards such as RESTful web services (namely based on the service of declarative state transfer (REST) framework style and constraint) is applied for enterprise and is developed.Some web clothes Be engaged in can be used security socket layer (SSL) or Transport Layer Security (TLS) agreement provide server 202 and user equipment 206 it Between secure connection.HTTP or HTTPS can be used to provide certification and confidentiality for SSL or TLS.In other examples, it can be used REST over HTTPS with the OAuth open standard for certification, or disappeared using safe SOAP is provided by XML encryption The WS-Security standard of breath realizes web services.In other examples, safety and integrated component 208 may include for providing The specialized hardware of security web service.For example, safety and integrated component 208 may include having build-in function such as hardware-accelerated The secure networking device of SSL and HTTPS, WS-Security and firewall.Such specialized hardware is mountable and configuration is any Before web server, so that any external equipment can be with specialized hardware direct communication.

One or more communication networks 220 can be any kind of network familiar to those skilled in the art, can Data communication is supported using any in various commercially available agreements, including but not limited to TCP/IP (transmission control Agreement/Internet protocol), SNA (System Network Architecture), IPX (the Internet packet exchange agreement), security socket layer (SSL) or Transport Layer Security (TLS) agreement, hypertext transfer protocol (HTTP) and Secure Hypertext Transfer Protocol (HTTPS),Near-field communication (NFC) etc..It is merely exemplary, network 220 can be local area network (LAN), such as based on The too network of net, token ring etc..One or more networks 220 can also be wide area network, such as internet.Network 220 may include Telecommunication network such as Public Switched Telephone Network (PSTN) or virtual network such as Intranet or extranet.Infrared and wireless network Network (for example, using 802.11 protocol suite of Institute of Electrical and Electric Engineers (IEEE) or other wireless protocols) also is included in net In network 220.

Calculating environment 200 may also include one or more data repositories 210 and/or back-end server 212.Show certain In example, data repository 210 can correspond to the above data storage server 104 discussed in Fig. 1, and back-end server 212 can correspond to various back-end server 112-116.Data repository 210 and server 212 can reside in identical data In the heart, it or can be operated at the remote location away from server 202.In some cases, one or more data repositories 210 It can reside on the non-transient storage media in server 202.Other data repositories 210 and back-end server 212 can be separate Server 202, and be configured as communicating via one or more networks 220 with server 202.In certain embodiments, number It can reside in storage area network (SAN) according to repository 210 and back-end server 212, or storage can be used to service (STaaS) framework model.

With reference to Fig. 3, it illustrates the data storage services for corresponding to the content distributing network 100 discussed in Fig. 1 above The one group of illustrative data repository and/or data storage server of device 104.One or more personal data repository 301- 311 can reside in the storage on the single computer server 104 (or individual server group or cluster) under single entity control In device, or it can reside on the separate server operated by different entities and/or remote location.In some embodiments, Data repository 301-311 can by content management server 102 and/or network 100 other equipment and server (for example, User equipment 106, superintendent's equipment 110, registrar server 116 etc.) access.It can be interacted based on trial with data repository Process, user rs credentials and/or equipment limit or refuse the access of one or more of absolute data repository 301-311.

Following paragraphs describe the specific data storages libraries that can be realized in some embodiments of content distributing network 100 Example.It should be appreciated that data repository 301-311's is described below, the data type including its function and wherein stored, is to say Bright property and not restrictive.Data storage server architecture, design and the execution of specific data storages library 301-311 It may depend on context, size and the functional requirement of content distributing network 100.For example, being used for professional training and aims of education Content distribution system 100 in, self contained data base can be realized in one or more data storage servers 104 or based on file Storage system, retouched with storing student and/or student data, trainer and/or professor's data, training module data and content State, train result, assessment data etc..On the contrary, for from content providers to the content distribution system for the distribution of media for subscribing to family In system 100, independent data repository can be realized, in one or more data storage servers 104 to store available content mark Topic and description, content title use statistics, subscriber's configuration file, account data, payment data, Web vector graphic statistical information Deng.

User profile data repository 301 (referred to herein as subscriber profile database 301) may include Information relevant to the end user in content distributing network 100.The information may include user characteristics, and such as user's name is visited It asks authority (for example, login name and password), user preference and interacts phase with any previous user in content distributing network 100 Pass information (for example, requested content, the content issued, completed content module, training score or assessment, other Associated user etc.).In some embodiments, which it is such as one or several to can be related to one or several people end users A student, teacher, administrator etc., and in some embodiments, which can be related to one or several mechanisms end user, Such as one or several schools, group of school such as one or several school districts, one or several institutes, one or several A university, one or several training providers etc..In some embodiments, which can identify in one or several groups One or several user's membership qualifications, for example, student university, school, program, grade, course, class etc. member provide Lattice.

Subscriber profile database 301 may include information relevant to the state of user, position etc..The information can recognize Such as user's equipment currently in use, position of equipment etc..In some embodiments, which can be based on any position detection skill Art such as navigation system 122 including generating.

Information related with User Status can identify such as logging state information, which can indicate to use Whether family currently logs on to content distributing network 100 and/or whether login is movable.In some embodiments, have with User Status The information of pass can identify whether user is currently accessing content and/or participating in the activity of content distributing network 100.

In some embodiments, it can identify that such as user and content distributing network 100 hand over about the information of User Status One or several mutual attributes and/or the content distributed by content distributing network 100.This may include identification user with The content etc. that the data of the interaction of content distributing network 100, user are consumed by content distributing network 100.In some embodiments In, this type that may include the information for being identified by the access of content distributing network 100 and/or user are via content distributing network The data of 100 Activity Types executed from user's last visit content and/or participate in the activity from content distributing network 100 Since elapsed time etc..In some embodiments, which can be related to including data, content and/or movable polymerization Content program, and can identify the progress for example by content program, or the data by forming content program, content And/or the progress of movable polymerization.In some embodiments, which can track for example since participating in and/or complete one kind Or it time quantum since the activity of several type, communicates since with one or several superintendents and/or superintendent's equipment 110 Since time quantum etc..

It is user in personal and specifically student some embodiments in one or several end users Configuration files database 301 can further include information relevant to the science of these students and/or education experience.The information can recognize One or several learned lessons that student has initiated, is completed and/or has been partially completed, and in these learned lessons The achievement arrived.In some embodiments, the science of student and/or education experience can further include mark student at one or several The information of test, test and/or the performance in operation.In some embodiments, it is not content delivery network which, which is storable in, In network 100 in one layer of memory of most fast memory.

Subscriber profile database 301 may include information relevant to one or several students study preference.For example, In some embodiments, the study that user (referred to herein as student or User) can have one or several to have a preference for Style, one or several most effective learning styles and/or the like.In some embodiments, the learning style of student It can be any learning style of the mode of learning of mode or student's preference that description student learns best.In one embodiment In, it is that auditory type learner, optic type learner and/or haptic type learn that these learning styles, which may include for example by student identification, Person.In some embodiments, the data for identifying one or several students' learning styles may include the education experience based on student The data for identifying learning style, have such as obtained in operation and/or in the course for being conducive to auditory type learner as student It is auditory type learner by the student identification when higher achievement and/or score.In some embodiments, which can store In one layer of memory for not being memory most fast in content distributing network 100.

In some embodiments, user profile data repository 301, which may also include, identifies one or several users The information of grade of skill.In some embodiments, these one or several the users ' skills grades can identify based on user with The grade of skill that the passing performance of the interaction of content distributing network 100 determines, and in some embodiments, these are one or several A the users ' skills grade can identify the passing performance interacted based on user with content distributing network 100 and one or several are pre- Survey the predicting skill grade that model determines.

Subscriber profile database 301 can further include with responsible tissue, presentation and/or manage to the information of student present One or several teachers and/or the relevant information of consultant.In some embodiments, subscriber profile database 301 It may include the data for identifying teacher and having taught the information of course and/or subject, the course and/or subject that mark teacher currently teaches And/or teacher is identified by the data of the course of professor and/or subject.In some embodiments, if wherein may include with one or The relevant information of one or several styles of teaching of dry teacher.In some embodiments, subscriber profile database 301 It can further include the information of the past assessment and/or assessment report that indicate that teacher receives.In some embodiments, user configuration text Part database 301 can further include the continuing education that the obtained training of the Improving advice received with teacher, teacher, teacher receive and/ Or the like relevant information.In some embodiments, it is not most fast in content distributing network 100 which, which is storable in, In one layer of memory of memory.

Account data store 302 (referred to herein as account database 302) produces and storage content distributes net The account data of the different user in various roles in network 100.For example, can be in account data store 302 for individual End user, superintendent, administrator and entity such as company or educational institution create an account.Account data may include account Type, current account status, account features, and any parameter associated with account, limitation, restriction.

Content library data repository 303 (referred to herein as Content Library Database 303) may include description via content The information of 100 available personal content item (or content resource or data grouping) of distribution network.In some embodiments, content library These data groupings in database 303 can be linked to form object network.In some embodiments, these data groupings can To be linked in object network according to one or several prerequisite relationships, these prerequisite relationships can for example identify data object Opposite level and/or difficulty.In some embodiments, the level of the data object can be by content distributing network 100 according to user The experience of object network is generated, and in some embodiments, the level of the data object can be existing based on one or several Have and/or external level outline, table of contents etc. generate.For example, in some embodiments, object network can correspond to mention Guiding principle, so that the Content Implementation of outline is in object network.

In some embodiments, content library data repository 303 may include outline, schedule etc..In some embodiments, it mentions Guiding principle or schedule can identify one or several tasks and/or event related to user.In some embodiments, for example, working as When user is the member of some group such as department or class, these tasks and/or event related to user can identify one Or several distribution, test, examination etc..

In some embodiments, the content resource that library data repository 303 may include and be stored in content server 112 Associated metadata, attribute and other features.Such data can identify the one or more aspects of associated content resource Or contents attribute, such as subject matter, access level or the grade of skill of content resource, the licensing attribute (example of content resource Such as, to can license and/or any restrictions and/or restriction of content resource distribution), the price attribute of content resource (for example, For determining the price and/or price mechanism of the payment amount of use or distribution for content resource), the grading of content resource Attribute (for example, the assessment of instruction content resource or data of validity) etc..In some embodiments, library data repository 303 It can be configured to allow to update content metadata or attribute, and allow to add and/or remove information relevant to content resource.Example Such as, content relation can be implemented as graphic structure, be storable in library data repository 303 or be stored in annex memory In, algorithm for selection is used together with other metadata.

In some embodiments, content library data repository 303 may include for assessing from the received response of user Information.It in some embodiments, and can be in receive for example, user can be from 100 reception content of content distributing network Response to received content is provided after holding.For example, in some embodiments, received content may include one or several A problem, prompt etc., and to the response of received content may include to these one or several problems, prompts etc. It answers.In some embodiments, the information (referred to herein as " comparing data ") from content library data repository 303 can be used for really Whether provisioning response is correct and/or desired response.

In some embodiments, Content Library Database 303 and/or subscriber profile database 301 may include polymerization Network, also referred to as content network or content-aggregated network.Converging network may include that can be linked at for example, by following manner Together multiple content-aggregated: it is created by ordinary user；With the relationship of common theme, topic, technical ability etc.；From one group of common source material Material such as source data grouping creation；Deng.In some embodiments, it is content-aggregated may include content grouping, the content packet It includes the presentation part that can be supplied to user in the form of such as flash card and extracts part, which may include pair The expected response of part is presented such as to the response of flash card.In some embodiments, one or several it is content-aggregated can be with It is generated by content distributing network 100, and can be related to one or several data groupings, one or several data Grouping can be organized for example in object network.In some embodiments, this one or several it is content-aggregated can be from storage Content creating in one or several data groupings.

In some embodiments, the content in Content Library Database 303 and/or subscriber profile database 301 Polymerization can be associated with these content-aggregated user founders.It in some embodiments, can be with to content-aggregated access Whether create content-aggregated based on such as user and changes.In some embodiments, Content Library Database 303 and/or user match Setting document data bank 301 may include content-aggregated database associated with specific user, and in some embodiments, Content Library Database 303 and/or subscriber profile database 301 may include each associated with specific user multiple Content-aggregated database.In some embodiments, these content-aggregated databases may include being created by its specific user It is content-aggregated, and in some embodiments, these content-aggregated databases may further include by specific user and/ Or the superintendent of the specific user be optionally comprised in it is therein content-aggregated.In some embodiments, these it is content-aggregated can be with With similar with the data grouping in object network hierarchical relationship arrangement and/or link, and/or be linked to object network or Task associated with the data grouping in object network or technical ability or outline or schedule.

In some embodiments, content-aggregated network and content-aggregated the content-aggregated of network of formation can be according to object Petri nets The hierarchical relationship implemented in network and/or object network carrys out tissue.In some embodiments, content-aggregated network and/or formed in Holding the content-aggregated of converging network can be according to one or several task identified in outline, schedule etc. come tissue.

Pricing data repository 304 may include for determining for providing to content distributing network 100 and/or network 100 The pricing information and/or pricing structure of the payment amount of the access of interior independent content resource.It in some cases, can be based on use Family is fixed to determine to the access of content distributing network 100 (for example, time-based subscription charge or based on the price of Web vector graphic) Valence.In other cases, price can be related to specific content resource.Certain content resources can associated pricing information, And other price determinations can configuration file based on the resource, user accessed and/or account and desired access level (example Such as, access duration time, network speed etc.).In addition, pricing data repository 304 may include fixed with the compiling of content resource group The relevant information of valence, such as group price and/or the price mechanism of resource grouping.

License data store library 305 may include with the licensing of the content resource in content distributing network 100 and/or permitted It can relevant information.For example, license data store library 305 can identify personal content resource in content server 112 and/or The licensing and license terms of the compiling of content resource, the copyright owner of content resource and/or public or extensive copyright institute The person's of having information, the contact details of the copyright owner for the content for not including in such as content server 112.

Access to content data repository 306 may include access authority and security information and the spy of content distributing network 100 Determine content resource.For example, access to content data repository 306 may include that can verify during user's logon attempt network 100 Log-on message (for example, user identifier, login name, password etc.).Access to content data repository 306 can also be used in storage and divide The user role and/or user access level matched are other.For example, the access level of user can correspond to the multiple groups content resource and/ Or the client that is allowed access to of user or server application.It can be based on subscription level, training program, course/achievement etc. Grade etc. allows or refuses access of the certain user to certain application programs and resource.Certain user can have to one or more The supervision of terminal user accesses, and superintendent is allowed to access all or part of content, activity, assessment of terminal user etc..In addition, Certain user can in Content Management network 100 some users and/or some application programs have management access, allow it is such User adds and deletes user account, modification access privilege, executes to software and server and safeguard update etc..

Source data store 307 may include information relevant to the source via the available content resource of content distributing network. For example, source data store 307 can identify author and the initiating equipment, the elder generation from same authors or initiating equipment of content resource Preceding data block and/or data group etc..

Assessment data repository 308 may include for instruct user assess information and Content Management network 100 in Hold resource.In some embodiments, assessment data repository 308 may include for example for assess user (for example, student/student, Game user, media content consumer etc.) and/or analytical standard for assessing the content resource in network 100 and analysis refer to South.Assessment data repository 308 may also include information relevant to assessment processing task, for example, providing to certain contents are had been received by Source has accessed the user of certain application programs and the mark of user equipment 106, and content resource, user or application program etc. are commented Estimate state or evaluation history.Evaluation criteria is storable in assessment data repository 308, including for assessing content, Yong Huhuo The data and/or instruction of the form with one or several electronics detailed rules and regulations or the guide that scores of application program.Assessment data are deposited Storage cavern 308 may also include the past assessment and/or analysis and assessment for user, content and application program, including relative rankings, Characteristic, explanation etc..

Model data store library 309 (referred to herein as model database 309) can store pre- with one or several Survey the relevant information of model.In some embodiments, these may include one or several evidence models, risk model, skill Energy model etc..In some embodiments, evidence model can be the statistical model based on mathematics.Evidence model can be based on for example Item response theory (IRT), Bayesian network (Bayesian network), performance factor analysis (PFA) etc..In some embodiments, Evidence model can be to user and/or customized to one or several content items.In particular, can will be with user And/or one or several the relevant inputs of one or several content items are inserted into evidence model.These inputs can wrap Include one or several degree of one or several measurements, content item difficulty and/or grade of skill of such as the users ' skills grade Amount etc..Then the evidence model prediction user that customization can be used is desired or undesirable to the offer of one or several content items Response a possibility that.

In some embodiments, risk model may include can be used for calculating one of one or several pattern function values or Several models.In some embodiments, these one or several pattern function values can be used for calculation risk probability, the wind The risk such as User that dangerous probability can characterize user is not able to achieve desired as a result, such as failing correctly in response to one Or it several data groupings, it is not able to achieve desired program completes grade (for example, within a predetermined period of time), be not able to achieve expectation Learning outcome etc..In some embodiments, risk probability can identify that User fails to complete 60% risk of program.

In some embodiments, these models may include multiple pattern functions, including such as the first pattern function, second Pattern function, third pattern function and the 4th pattern function.In some embodiments, some or all model functions can be with journey The completion stage of a part of sequence such as program and/or completion status are associated.For example, in one embodiment, the first model Function can be associated with the first completion status, and the second pattern function can be associated with the second completion status, third model letter Number can be associated with third completion status, and the 4th pattern function can be associated with the 4th completion status.In some realities It applies in example, can choose these completion statuses, so that some or all of these completion statuses are less than expectation completion of program etc. Grade.In particular, in some embodiments, these completion statuses can be selected as all 60% completions less than program, More specifically, in some embodiments, the first completion status can be 20% completion of program, the second completion status can be journey The 30% of sequence is completed, and what third completion status can be program 40% completes, and it is 50% complete to can be program for the 4th completion status At.Similarly, the pattern function of any desired quantity can be associated with any desired completion status number.

In some embodiments, can based on User by the progress of program the preference pattern from multiple pattern functions Function.In some embodiments, the progress of User can be compared with one or several state activation threshold values, In each state activation threshold value can be associated with one or more pattern functions.If one in state triggering is used by student The progress at family triggers, if then can choose corresponding one or a pattern function.

Pattern function may include a plurality of types of models and/or function.In some embodiments, each pattern function output It can be used for the functional value of calculation risk probability.It can be by one or several user properties of instruction and/or customer parameter (this In also referred to as program state parameter) one or several values execute one or several mathematical operations to calculate the functional value. In some embodiments, identical program state parameter can be used in each pattern function, and in some embodiments, model Different program state parameters can be used in function.In some embodiments, when at least one of pattern function uses other When at least one program state parameter that pattern function does not use, pattern function uses different program state parameters.

In some embodiments, skill models may include the system for identifying the predicting skill grade of one or several students Count model.In some embodiments, which can identify the single grade of skill of student and/or the possible technical ability of student etc. The range of grade.In some embodiments, the statistical model can identify User grade of skill and with the grade of skill phase Associated error value or error range.In some embodiments, error value can be with the confidence interval determining based on confidence level It is associated.Therefore, in some embodiments, as the quantity that the student with content distributing network interacts increases, confidence level can To increase, and error value can reduce, so that smaller by the range of the grade of skill about prediction of error value identification.

Threshold data library 310 (referred to herein as threshold data library) can store one or several threshold values.These one A or several threshold values can distinguish description between state or condition.In one exemplary embodiment, for example, threshold value can be can Between the user performance of receiving and unacceptable user performance, it is suitable for the content of user and the content of unsuitable user, wind It distinguishes and describes between dangerous grade etc..

Other than above-mentioned example data repository, one or more data storage servers 104 are (for example, database Server, storage server file-based etc.) it may include one or more external data polymerizers 311.External data polymerization Device 311 may include the third party's data source that can be accessed by Content Management network 100 but not safeguarded by Content Management network 100.Outside Portion's data aggregators 311 may include any electronics relevant to the user of content distributing network 100, content resource or application program Information source.For example, external data collector 311, which can be, sells number comprising consensus data, education related data, consumer According to third party's data storage of, healthy related data etc..Exemplary external data aggregators 311 may include such as social networks Web server, public records data repository, learning management system, educational institution's server, service server, consumer's pin Sell data repository, medical record data repository etc..The data retrieved from various external data polymerizers 311 can be used for testing Card and update user account information suggest user content, and execute user and content evaluation.

Referring now to Figure 4, it illustrates a block diagram, which shows the one or more in content distributing network 100 The embodiment of content management server 102.In such embodiments, content management server 102 executes the interior of flowing content Portion's data collection and processing are collected and are handled together with external data.Other embodiments can have all outsides or all internal numbers According to any one of collection.The embodiment, which allows to notify at once, may make the interested information in report side or other each side.At this In embodiment, content management server 102 can monitor from several sources collect information, so as to allow its be based on the information and When make business and/or processing decision.For example, the report of user action and/or response and one or several can be collected The state of a processing task and/or as a result, and from multiple sources to content management server 102 report.

In inside, content management server 102 collects information from one or more internal parts 402 to 408.Internal part 402 to 408 collect and/or handle information related with following things: being supplied to the content of user；The content of user's consumption；With The response that family provides；The users ' skills grade；Content Difficulty grade；Next content etc. for providing a user.Internal part 402 It can real-time, near real-time or information that is collected along the report of another timeline and/or generating to 408.In order to illustrate report Any delay of information, timestamp or outmoded instruction can notify the timeliness of other people intelligence samples.Content management server 102 can choose permission third party is used inside or outside polymerizeing in server 102 by subscribed content distribution network 100 The information of collection.

(CC) interface 338 is ordered and controlled by the input information configuration of collection into the output of data flow, data flow is herein In also referred to as content stream.The API of information and offer data flow for receiving to collect, which is provided to outside server 102, to be wanted Subscribe to the third party of data flow.Server 102 or third party can be used CC interface 338 and design the API not yet defined.Server 102 can also use the definition of CC interface 338 authorization and parameters for authentication such as authenticate, authorize, log in and/or data encryption.At this In embodiment, CC information passes through the channel transfer of the information or data flow separation with collection to the inside of content distributing network 100 Component 402 to 408 and/or other component, but other embodiments can be embedded in CC information in these communication channels.CC information Allow restricted information report frequency, specify information and data flow format, deactivate one or several internal parts 402 to 408 and/or other component, update certification and the authorization of content distributing network 100 etc..

Available various data flows can be studied and explored by CC interface 338.(it can be one for particular subscriber Or the other component of several internal parts 402 to 408 and/or content distributing network 100) those of data flow selection be stored in In queue subscription information database 322.Then, the data flow of selection is routed to by server 102 and/or CC interface 338 Select the processing subscriber of the delivering of data-oriented stream.In addition, server 102 also support to by archive agent data 336 collect, It is stored in the historical query of the various data flows in history data store library 334.It can choose various data by CC interface 238 Stream is to be archived in history data store library 334.

The component of content distributing network 100 other than server 102 can also collect information, and the information is real-time, close It reports in real time or along another timeline to server 102.There is the API of definition between these components and server 102.By taking Each type of information or variable that business device 102 is collected belong to the API or multiple API of definition.In some cases, CC interface 338 for defining supplementary variable, to modify the API that can be used for handling subscriber.Additional variable can pass to all processing Subscription or only subset.For example, the component of the content distributing network 100 except server 102 can report user response, still The identifier of the user is defined as private variable, which will not be delivered to the access authority lacked to the user And/or receive the processing subscriber of the authorization of the user data.With the access authority for accessing the user and/or receive the user The user of the authorization of data will receive subscriber identity's symbol and report the response of the component.The encryption of data flow or subflow and/ Or unique addressing can be used for hiding private variable in Messaging Queue.

User equipment 106 and/or management equipment 110 are communicated by safety and/or integrated hardware 410 with server 102.With The communication of safety and/or integrated hardware 410 can be encrypted or unencrypted.It is, for example, possible to use the sockets for using TCP connection Word.In addition to TCP, in some embodiments, the information that transport layer protocol such as SCTP and UDP intake are collected can be used.It can be with The information in TCP connection is protected using the agreement of such as SSL.It can be to any user equipment 106 interacted with server 102 And/or superintendent's equipment executes certification and authorization.Safety and/or integrated hardware 410 are by providing API and any encryption, authorization And/or certification receives information from one or several user equipmenies 106 and/or superintendent's equipment 110.In some cases, pacify Complete and/or integrated hardware 410 reformats or rearranges the information received.

Messaging bus 412 (referred to herein as Messaging Queue or messaging channel) can be from server The component of content distributing network 100 other than 102 internal part and/or server 102 receives information, and will be collected into Information is distributed to any processing subscriber that the data flow is requested from Messaging Queue 412 as data flow.In particular, In some embodiments, messaging bus 412 can from grouping selection system, presentation system, response system and summarize model system At least one of system reception and output information.In some embodiments, the information can be exported according to " pushing away " model, and In some embodiments, which can be exported according to " drawing " model.

As shown in figure 4, processing subscriber, by the connector instruction to messaging bus 412, which, which has, is directed toward Arrow far from messaging bus 412.Data only in the Messaging Queue 412 that has subscribed of particular procedure subscriber Stream could read (if receiving) by processing subscriber.The information of Messaging Queue 412 being collected into is sent to by disappearing Breath transmitting queue 412 is handled within part second and is returned in a stream.Can be used various multicasts and route technology from Messaging Queue 412 distributes the data flow of multiple processing Subscriber requests.The association of such as multicast or multiple unicasts can be used View distribution flow in Messaging Queue 412.In addition, transport layer protocol such as TCP, SCTP and UDP can be used for various embodiments.

By CC interface 338, outside or inside processing subscriber can be assigned in Messaging Queue 412 one or Multiple data flows.Data flow is the certain types of message in particular category.For example, data flow may include by specified one group Component is reported to all data of messaging bus 412.One or more processing subscriber can subscribe to and receive data flow To handle information and make decisions, and/or by the output of processing as the feedback information feedback collected to message transmission team In column 412.By CC interface 338, developer may search for available data flow or specify new data flow and its API.It can be with New data stream is determined by handling multiple available data streams using processing subscriber.

CDN 110 has inter-process subscriber 402 to 408, handles the data flow of distribution to hold in server 102 Row function.Inter-process subscriber 402 to 408 can execute function and such as provide a user content, receive sound from the user It answers, determines the correctness of received response, the correctness based on response updates one or several models, recommends for being supplied to The new content etc. of one or several users.Inter-process subscriber 402 to 408 can determine the mistake of the record from data flow Filter and weighting.If decision is made based on the analysis to data flow, each data record carry out time label with The acquisition time for reflecting information, so that for example additional confidence level can be provided to closer result.Other embodiments can filter Record or out-of-date record from unreliable source in data flow out.For example, the specific contributor of information can be proved to have not The information preferably collected very much, the specific contributor can carry out very low land and weight or completely remove.

In addition inter-process subscriber 402 to 408 can handle one or more data flows, to provide different information, from And it feeds back and arrives a part of Messaging Queue 412 as different data streams.For example, hundreds of user equipmenies 106 can provide The response being placed in the data flow on message queue 412.Inter-process subscriber 402 to 408 can receive data flow and right It is handled, to determine the difficulty for one or several data groupings for being supplied to one or several users, and should Information is fed back into Messaging Queue 412, so as to other possible uses of inside and outside processing subscriber.

As described above, CC interface 338 allows 110 query history Messaging Queue of CDN, 412 information.Achieve agent data 336 monitoring informations transmit queue 412, so as to the storing data stream in historical data base 334.Historical data base 334 can store Data flow continues different time amount, and can not store all data flows.Different data flows can store different time quantums.

About component 402 to 408, content management server 102 may include various server hardwares and software component, described Content resource in server hardware and software component management content distributing network 100, and on various user equipmenies 106 User provides interactive content and adaptive content.For example, content management server 102 can be into content distributing network 100 Other equipment provide instruction and receive information from the other equipment in content distributing network 100, to manage and to deliver in net Content resource, user data and the server or client application executed in network 100.

Content management server 102 may include grouping selection system 402.Content distribution can be used in grouping selection system 402 Specialized hardware in network 100 (for example, grouping selection server 402), or use the finger in shared content management server 102 Hardware and software resource is determined to realize.In some embodiments, grouping selection system 402 can adjust content resource selection and from Adaptability is to match needs and the expectation of the user of reception content.For example, grouping selection system 402 can inquire various data and deposit It stores up with server 104 and retrieves user information, such as user preference and feature are (for example, from user profile data repository 301), user to the access of content resource limitation (for example, from access to content data repository 306), previous user's result and Content evaluation (for example, carrying out self-evaluating data repository 308) etc..Based on what is retrieved from data repository 104 and other data sources Information, grouping selection system 402 can modify the content resource of personal user.

In some embodiments, grouping selection system 402 may include recommended engine, referred to herein as adaptively push away It recommends and holds up.In some embodiments, recommended engine can choose one or several content (referred to herein as data point Group) to be supplied to user.Can based on for example from database server 104 retrieve information select these data groupings, it is described Database server includes such as subscriber profile database 301, Content Library Database 303, model database 309.? In some embodiments, it can select and/or select these one or several according to one or several selection rules self-adaptives A data grouping.For example, in one embodiment, recommended engine can be from the user configuration text of identification such as the users ' skills grade Part database 301 retrieves information.Recommended engine further can retrieve information, the information identification from Content Library Database 303 Such as the difficulty of the potential data grouping and those data groupings for being supplied to user and/or related to those data groupings The grade of skill of connection.

Recommended engine can based on such as identifications such as one or several rule, model, predictions for offer one or Several potential data groupings and/or one or several data groupings for being used to provide a user.Recommended engine can be used The grade of skill of user generate one or several users provide to the expected responses of some or all potential data groupings can The prediction of energy property.In some embodiments, recommended engine can match one or several data groupings and selection criteria, should Selection criteria can be used for based on from User it is received one or several in response to determining which should be delivered to User Grouping.In some embodiments, if a possibility that predicting a possibility that indicating expected response excessively high or expected response is too low, Then one or several data groupings can be eliminated from potential data grouping pond.In some embodiments, recommended engine is then One or several selection criteria can be applied to remaining potential data grouping to select the data for being used to be supplied to user Grouping.These one or several selection criteria can based on for example with the expectation estimation for receiving the response to data grouping Time related standard, one or several content parameters, one or several allocation of parameters etc..

Content management server 102, which may also include, summarizes model system 404.Summarizing model system 404 can be used content point Specialized hardware in hairnet network 100 (for example, summarizing model server 404), or using in shared content management server 102 Hardware and software resource is specified to realize.In some embodiments, summarizing model system 404 can be provided by various types of contents Source and group, media compiling, course or total course in training or education environment, interactive game environment etc. monitor use The progress at family.For example, one or more databases and/or data storage server 104 can be inquired to examine by summarizing model system 404 Rope user data, associated content compiling or program, content completion status, ownership goal, result etc..

Content management server 102 may also include response system 406, and in some embodiments, which may include Answer processor.The specialized hardware in content distributing network 100 (for example, response server 406) can be used in response system 406, Or it is realized using the specified hardware and software resource in shared content management server 102.Response system 406 can be configured Information for reception and analysis from user equipment 106.For example, the various of content resource that compileable and analysis user submits are commented Grade is then stored in data repository associated with content (for example, content library data repository 303 and/or assessment number According to repository 308) in.In some embodiments, response server 406 can analyze information to utilize such as subject matter, age Group, grade of skill etc. determine the validity or appropriateness of content resource.In some embodiments, response system 406 is available The attribute of one or more content resources or resource group in network 100 to grouping selection system 402 or summarizes model system 404 provide update.Response system 406 also be can receive and be analyzed from user equipment 106, superintendent's equipment 110 and administrator's clothes The user of business device 116 etc. assesses data.For example, response system 406 can receive, polymerize and analyze different type in different contexts User (for example, terminal user, superintendent, administrator etc.) user assess data (for example, media consumer's grading, student Or understanding level, teacher's effect level, player's grade of skill of student etc.) user.

In some embodiments, response system 406 can be further configured to receive one or several responses from user And analyze these one or several responses.In some embodiments, for example, response system 406 can be configured to one or Several responses are converted to one or several observables.If used herein, observable is the characterization of received response.One In a little embodiments, if by one or several responses be converted to one or several observables may include it is determining one or Dry response is that correct response (referred to herein as expected response) or incorrect response are (referred to herein as undesirable Response).In some embodiments, one or several responses are converted to one or several observables may include characterization One or several responses are the degree of expected response and/or undesirable response.In some embodiments, response system 406 can User performance when generating one or several values to be reflected in response to one or several data groupings.In some implementations Example in, these one or several values may include for one or several response and/or data grouping it is one or several A score.

Content management server 102 may also include presentation system 408.Content distributing network 100 can be used in presentation system 408 Specialized hardware in (for example, presence server 408), or using in shared content management server 102 specified hardware and Software resource is realized.Presentation system 408 may include that engine is presented, which can be for example in content delivery system The software module of upper operation.

Presentation system 408 (referred to herein as presentation module or engine is presented) can be from grouping selection system 402 simultaneously And/or person is from summarizing 404 reception content resource of model system, and resource is supplied to user equipment 106.Presentation system 408 The appropriate presentation format of content resource can be determined based on user characteristics and preference and/or the capacity of equipment of user equipment 106. If desired, system 408, which is presented, to be converted to presentation format and/or compressed content appropriate for content resource before transmitting. In some embodiments, presentation system 408 may further determine that the transmission media and communication protocols appropriate of the transmission for content resource View.

In some embodiments, presentation system 408 may include Special safety and integrated hardware 410 and corresponding software portion Part provides the network and client Access Model of support, and support to realize security feature content transmission appropriate and storage Performance and the requirement of the scalability of network 100.Safety and integrated layer 410 may include the safety discussed in Fig. 2 above and integrate Some or all of component 208, and the transmission of controllable content resource and other data, and request and content interaction It receives, receives to and received from other in user equipment 106, superintendent's equipment 110, management server 116 and network 100 Equipment.

Referring now to Figure 5, its block diagram for showing exemplary computer system.System 500 can correspond to above content point Any calculating equipment or server of hairnet network 100 or described herein any other calculate equipment, and specifically can be with Including such as one or several user equipmenies 106, superintendent's equipment 110 and/or server 102,104,108,112,114, Any one of 116.In this example, computer system 500 includes via bus subsystem 502 and multiple peripheral subsystems The processing unit 504 of communication.These peripheral subsystems include such as storage subsystem 510, input/output subsystem 526 and lead to Believe subsystem 532.

Various parts and subsystem of the offer of bus subsystem 502 for making computer system 500 it is anticipated that lead to each other The mechanism of letter.Although bus subsystem 502 is shown schematically as single bus, the alternate embodiment of bus subsystem can Utilize multiple bus.Bus subsystem 502 can be any one of the bus structures of several type, including memory is total The local bus of any one in line or Memory Controller, peripheral bus and the various bus architectures of use.Such body Architecture may include such as industry standard architecture (ISA) bus, microchannel architecture (MCA) bus, enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus and peripheral parts interconnected (PCI) bus, the peripheral components The mezzanine bus that IEEE P1386.1 standard manufactures according to interconnection bus can be realized.

Processing unit 504 can be realized as one or more integrated circuits (for example, custom microprocessor or microcontroller), control The operation of computer system 500 processed.One or more processors including monokaryon and/or multi-core processor may include single in processing In member 504.As shown, processing unit 504 can realize for include in each processing unit single or multiple core processing One or more separate processing units 506 and/or 508 of device and processor cache.In other embodiments, processing unit 504 can also be achieved as four core processing units or bigger multi core design (for example, six core processors, eight core processors, ten cores are handled The processor of device or more).

It includes that various softwares in program code are handled, and can be kept multiple while be held that processing unit 504 is executable Capable program or processing.At any given time, some or all of program code to be executed can reside in one or more In a processor 504 and/or storage subsystem 510.In some embodiments, computer system 500 may include one or more Application specific processor, digital signal processor (DSP), external processor, graphics processor, application specific processor etc..

Input/output subsystem 526 may include that one or more user interface input devices and/or user interface output are set Standby 530 device controller 528.User interface input device and user interface output equipment 530 can collect with computer system 500 At (for example, integrated audio/video system and/or touch-screen display), or can be can and computer system 500 attachment/ The independent peripheral equipment of separation.Input/output subsystem 526 can by the way that one or several electric signals are converted to user Perception and/or interpretable form to provide a user one or several outputs, and can by based on input/defeated If one or several interactions caused by the user of subsystem out generate one or several electric signals from user receive one or Dry input, the interaction include such as press the button or button, mobile mouse, interact with touch screen or Trackpad, sound wave and The interaction etc. of microphone.

Input equipment 530 may include keyboard, indicating equipment such as mouse or trackball, the touch tablet being integrated in display Or touch screen, idler wheel, click wheel, dial, button, switch, keyboard, the audio input with voice command recognition are set Standby, microphone and other kinds of input equipment.Input equipment 530 may also include three-dimensional (3D) mouse, control stick or instruction It is stick, game paddle and graphic tablet and audio/video devices, such as loudspeaker, digital camera, digital camera, portable Formula media player, web camera, image scanner, fingerprint scanner, barcode reader 3D scanner, 3D printer, Laser range finder and eye gaze tracking equipment.Additional input equipment 530 may include for example allow users to using gesture and Voice command, the motion sensing and/or gesture identification that input equipment is controlled by natural user interface and is interacted therewith Equipment detects eye activity from the user and eyes posture is converted to the eyes posture for the input for being input to input equipment It identifies equipment, allows users to the speech recognition sensor device interacted by voice command and speech recognition system, doctor Learn imaging input device, MIDI keyboard, digital music instruments etc..

Output equipment 530 may include that one or more display subsystems, indicator light or non-vision display such as audio are defeated Equipment etc. out.Display subsystem may include such as cathode-ray tube (CRT) display, tablet device such as using liquid crystal display (LCD) or the equipment of plasma scope, light emitting diode (LED) display, projection device, touch screen etc..In general, The use of term " output equipment " be intended to include for by information from the output of computer system 500 to user or other computers The equipment and mechanism of all possibility types.For example, output equipment 530 may include but be not limited to visually to deliver text, figure and The various display equipment of audio/visual information, such as monitor, printer, loudspeaker, earphone, auto-navigation system, drawing Instrument, voice-output device and modem.

Computer system 500 may include one or more storage subsystems 510, including for storing data and program instruction Hardware and software component, such as system storage 518 and computer readable storage medium 516.System storage 518 and/or Computer readable storage medium 516 is storable in the program instruction that on processing unit 504 can be loaded and can be performed, and is executing The data generated during these programs.

According to the configuration and type of computer system 500, system storage 318 is storable in volatile memory (such as Random access memory (RAM) 512) and/or non-volatile memories driver 514 (such as read-only memory), flash memories Deng).RAM 512 may include the data and/or program that processing unit 504 can be immediately accessed and/or be currently being operated and execute Module.In some implementations, system storage 518 may include a variety of different types of memories, and such as static random-access is deposited Reservoir (SRAM) or dynamic random access memory (DRAM).In some specific implementations, basic input/output (BIOS) It can be typically stored in non-volatile memories driver 514, it includes (all as during start-up) to help in computer system 500 Element between transmit information basic routine.By way of example and not limitation, system storage 518 may include using journey Sequence 520 (such as, client application, Web browser, mid-tier application, server application etc.), program data 522 and operating system 524.

One or more tangible computer readable storage mediums 516 can also be provided in storage subsystem 510, provide for storing The basic programming of the function of some embodiments and data structure.The software of functionality described herein is provided when being executed by processor (program, code module, instruction) is storable in storage subsystem 510.These software modules or instruction can be by processing units 504 It executes.Storage subsystem 510 can be provided for storing the repository of data used according to the invention.

Storage subsystem 300 can also include the computer that can be connected further to computer readable storage medium 516 Readable storage medium storing program for executing reader.Together and optionally, the computer readable storage medium 516 combined with system storage 518 Can comprehensively indicate long-range, local, fixation and/or movable memory equipment, and for it is interim and/or more permanently include, The storage media of storage, transmission and retrieval computer-readable information.

The computer readable storage medium 516 of part comprising program code or program code may include as is generally known in the art Or any medium appropriate used, including storage medium and communication media, such as, but not limited to for storage and/or transmission The volatile and non-volatile media of any method or technique realization of information, removable and irremovable medium.It may include Visible computer readable medium, such as RAM, ROM, electrically erasable ROM (EEPROM), flash memories or other storages Technology, CD-ROM, digital versatile disc (DVD) or other optical memory, cassette, tape, magnetic disk storage or other magnetic are deposited Store up equipment or other visible computer readable mediums.It may also include intangible computer readable medium, such as data-signal, data Any other medium for transmitting or can be used for transmitting information needed and can be accessed by computer system 500.

For example, computer readable storage medium 516 may include reading or being written to it from irremovable non-volatile magnetic media The hard disk drive entered, the disc driver and CD drive for reading or being written to from removable non-volatile magnetic disk, The CD drive is from removable anonvolatile optical disk or other optical mediums such as CD ROM, DVD and Blu-Disk is read Or it is written to.Computer readable storage medium 516 may include but be not limited toDriver, flash memory cards, general string Row bus (USB) flash drive, secure digital (SD) card, DVD disc, digital video tape etc..Computer readable storage medium 516 may also include the solid state drive (SSD) based on nonvolatile memory, and (such as, the SSD based on flash memory, enterprise's flash memory drive Dynamic device, solid-state ROM etc.), the SSD (such as, solid-state RAM, dynamic ram, static state RAM) based on volatile memory, based on DRAM SSD, magnetic resistance RAM (MRAM) SSD and using the SSD based on the DRAM and SSD based on flash memories combined mixing SSD.Disk drive and its associated computer-readable medium can provide computer-readable instruction, number for computer system 500 According to the non-volatile memories of structure, program module and other data.

Communication subsystem 532 can via include local area network (LAN), wide area network (WAN) (for example, internet) and it is various wirelessly One or more communication networks of telecommunication network provide the communication interface from computer system 500 and external computing device.Such as Shown in Fig. 5, communication subsystem 532 may include for example one or more network interface controller (NIC) 534 (such as, Ethernets Card, asynchronous transfer mode NIC, token ring NIC etc.), and (such as, wireless network connects one or more wireless communication interfaces 536 Mouth controller (WNIC), wireless network adapter etc.).As shown in figure 5, communication subsystem 532 may include for example one or more Position determines feature 538, one or several navigation system characteristics and/or receiver etc..Additionally or alternatively, communicator System 532 may include one or more modems (phone, satellite, cable, ISDN), either synchronously or asynchronously digital subscriber line (DSL) unit,Interface,Interface etc..Communication subsystem 536 may also include radio frequency (RF) transceiver portion Part, global positioning system (GPS) receiver parts and/or other component, wherein the RF transceiver component is wireless for accessing (for example, using cellular telephony, advanced data network technology such as 3G, 4G or EDGE are (global for voice and/or data network The enhanced data-rates of evolution), WiFi (802.11 families of standards of IEEE) or other mobile communication technologies or their any group It closes).

The various physical units of communication subsystem 532 can be via computer network,The connection such as bus To computer system 500, and/or the detachable part that can be physically integrated on the mainboard of computer system 500.Communicate subsystem System 532 can also be entirely or partly by software realization.

In some embodiments, communication subsystem 532 can also represent can be used or access one of computer system 500 or Multiple users receive the input communication of the forms such as structuring and/or unstructured data feeding, flow of event, event update.Example Such as, communication subsystem 532 can be configured to feed from social networks and/or user's real-time reception data of other communication services, Web feeding such as rich site summary (RSS) is fed, and/or from one or more third party's information sources (for example, data are poly- Clutch 311) real-time update.In addition, communication subsystem 532 can be configured to receive data in the form of continuous data stream, It may include the flow of event of real-time event and/or event update (for example, sensing data application program, financial quote device, internetworking It is capable of measuring tool, analysis tool, mechanical transport monitoring etc.).Communication subsystem 532 can be by this type of structured and/or unstructured Data feeding, flow of event, event update etc. are exported to one or more data repositories 104, and the data storage can be with connection One or more streaming data source computers to computer system 500 are communicated.

Due to the continually changing property of computer and networks, the description of computer system 500 as shown in the figure is intended only as Specific example.Many other configurations with components more more or fewer than system shown in figure are possible.For example, may be used also Using custom hardware and/or particular element can be realized in hardware, firmware, software or combinations thereof.It is also possible to use arriving other Calculate equipment such as network inputs/output equipment connection.Based on disclosure and teachings provided herein, the common skill in this field Art personnel will be understood that the other modes and/or method for realizing various embodiments.

Referring now to Figure 6, showing the block diagram for showing one embodiment of communication network.In particular, Fig. 6 depicts one Kind hardware configuration, wherein message exchanges between source hub 602 via communication network 120, and communication network may include one Or several intermediate hubs 604.In some embodiments, source hub 602 can be the generation of content distributing network and open Any one or several components that message is sent are moved, and Terminal Concentrator 606 can be the reception of content distributing network 100 And any one or several components of message are not retransmitted.In some embodiments, for example, source hub 602 can be with It is one or several in user equipment 106, superintendent's equipment 110 and/or server 102, and Terminal Concentrator 606 is same Sample can be one or several in user equipment 106, superintendent's equipment 110 and/or server 102.In some embodiments In, intermediate hubs 604 may include any calculating equipment for receiving message and message being resend to next node.

As shown in fig. 6, in some embodiments, each of hub 602,604,606 can be with data repository 104 Communicatedly connect.In such embodiments, some or all of hub 602,604,606 can be to data repository 104 Send identification institute received message and/or it is any transmission or retransmit message information.In some embodiments, the information Be determined for it is any transmission and/or received message integrality, and/or verifying Terminal Concentrator 606 it is received The accuracy and integrality of any message.

In some embodiments, communication network 120 can be formed by intermediate hubs 604.In some embodiments, communication network Network 120 may include single intermediate hubs 604, and in some embodiments, and communication network 120 may include multiple intermediate line concentrations Device.For example, in one embodiment, as shown in fig. 6, communication network 120 includes among the first intermediate hubs 604-A and second Hub 604-B.

Referring now to Figure 7, showing the frame for showing one embodiment of user equipment 106 and the communication of superintendent's equipment 110 Figure.In some embodiments, for example, user can have multiple equipment, these equipment can be connect with content distributing network 100 To send or receive information.In some embodiments, for example, user can have personal device such as mobile device, intelligence electricity Words, tablet computer, smartwatch, laptop computer, PC etc..In some embodiments, other equipment can be except personal device Any calculating equipment.The other equipment may include such as laptop computer, PC, smart phone, tablet computer, smartwatch Deng.In some embodiments, another equipment and personal device the difference is that, personal device is registered as content delivery network Personal device in network 100, and another equipment is not registered as the personal device in content distributing network 100.

With specific reference to Fig. 7, user equipment 106 may include personal user device 106-A and one or several other use Family equipment 106-B.In some embodiments, in personal user device 106-A and one or several other users equipment 106-B One of or both can be communicably connected to content management server 102 and/or navigation system 122.Similarly, superintendent sets Standby 110 may include personal superintendent's equipment 110-A and one or several other superintendent's equipment 110-B.In some implementations In example, one or both of personal superintendent's equipment 110-A and one or several other superintendent's equipment 110-B can lead to It is connected to content management server 102 and/or navigation system 122 to letter.

In some embodiments, content distributing network can for example be set via communication network 120 to one or more users One or more alarms are sent for 106 and/or one or more superintendent's equipment 110.In some embodiments, the reception of alarm It can cause to start application program in receiving device, and in some embodiments, alarm may include link, this is linked at Start application program when being selected or the web browser for linking the equipment of optant is navigated into the page with Event correlation or is entered Mouthful.

For example, in some embodiments, provide this alarm may include identify one or several user equipmenies 106 and/or User account associated with User and/or one or several superintendent's equipment 110 and/or and superintendent The associated superintendent's user account of user.After identifying these one or several equipment 106,110 and/or account, mention It may include that determining equipment is being actively used based on determining which of equipment 106,110 and/or account for the alarm 106, then 110 vehicular equipment provides alarm to the vehicular equipment.

In particular, if user is actively using one of equipment 106,110 such as other users equipment 106-B It, then can be via other equipment 106-B, 110-B and/or currently in use with other superintendent's equipment 110-B and/or account Account provides a user alarm.If user does not use other equipment 106-B, 110-B and/or account actively, can identify Personal device 106-A, 110-A equipment such as smart phone or tablet computer, and can be to the personal device 106-A, 110-A Alarm is provided.In some embodiments, alarm may include for instructing Default device to provide the instruction of received alarm such as Receive the sense of hearing, tactile or the code visually indicated of alarm.

In some embodiments, the receiver equipment 106,110 of alarm can provide the reception instruction of alarm.In some realities It applies in example, the presentation of alarm may include controlling input/output subsystem 526 for example to provide listening for alarm and/or alarm receiver Feel, tactile and/or visually indicate.In some embodiments, this may include controlling the screen of superintendent's equipment 110 to show police The data for including in report, alarm and/or alarm instruction.

Referring now to Figure 8, showing application heap and particularly illustrating showing for one embodiment of storehouse 650 It is intended to.In some embodiments, content distributing network 100 may include a part of storehouse 650, which may include basic knot Structure layer 652, podium level 654, application layer 656 and gas producing formation 658.In some embodiments, storehouse 650 may include layer, hardware And/or some or all of software, to provide one or several desired functions and/or product.

As shown in figure 8, infrastructure layer 652 may include one or several servers, communication network, data storage Library, privacy server etc..In some embodiments, infrastructure layer may further include one or several user equipmenies 106 and/or as content distributing network a part connection superintendent's equipment 110.

Podium level may include one or several platform software program, module and/or functions.These may include for example Identification service, security service and/or adaptive platform service 660.In some embodiments, identification service can for example identify one A or several users, component of content distributing network 100 etc..Security service can for one or several security threats, Loophole, virus, Malware etc. monitor content distributing network.Adaptive platform service 660 can be from content distribution network 100 One or several components receive information and can provide prediction model based on the received information, it is proposed that etc..It is adaptive flat The function of platform service 660 will discuss in more detail in following Fig. 9 A to Fig. 9 C.

Application layer 656 may include one or several product softwares or product software module can be upon which or within which The software or software module of operation.In some embodiments, application layer 656 may include such as management system, record system.? In some embodiments, management system may include such as learning management system (LMS), Content Management System (CMS).Management system System can be configured as control and deliver one or several resources to user and/or receive one or several sound from user It answers.In some embodiments, record system may include such as virtual school report, virtual consultant.

Gas producing formation may include a kind of or several software product and/or software module product.These software products and/or soft Part module product can provide one or several clothes for one or several users of software product and/or software module product Business and/or function.

Referring now to Fig. 9 A to Fig. 9 C, the communication of the module in content distributing network 100 and the reality of process flow are shown Apply the schematic diagram of example.In some embodiments, communication and place can be executed in the part of podium level 654 and/or application layer 656 Reason.Fig. 9 A is depicted can be via this communication of the message channel 412 in podium level 654 and/or application layer 656 or processing First embodiment.

Podium level 654 and/or application layer 656 may include the multiple modules that can implement in software or hardware.In some realities It applies in example, some or all of module can be in single location with hardware and/or software implementation, and in some embodiments, this Some or all of a little modules can be in multiple positions with hardware and/or software implementation.These modules can execute one or Several processes, including process 670, response process 676 is for example presented, summarizes model process 680 and grouping selection course 684.

In some embodiments, presentation process 670 may include to one or several user equipmenies 106 and/or supervision One or several methods and/or step of the delivering content of people's equipment 110.Presentation process 670 can be by 672 He of renderer module Views module 674 executes.Renderer module 672 can be content distributing network 100 and the specifically hardware of server 102 or Software module.In some embodiments, renderer module 672 may include one or several portions on server 102 Point, feature and/or function, and/or one or several parts, feature and/or function on user equipment 106. In some embodiments, renderer module 672 can be implemented in presentation system 408.

Renderer module 672 can control into one or several user equipmenies 106 and/or the offer of superintendent's equipment 110 Hold.In particular, renderer module 672 can control the generation of one or several message, so as to one or several phases The user equipment 106 and/or superintendent's equipment 110 of prestige provide content.Renderer module 672 can further control by these one A or several message are supplied to one or several desired expectation user equipmenies 106 and/or superintendent's equipment 110.Therefore, In some embodiments, renderer module 672 can control one or several features of communication subsystem 532, to generate simultaneously One or several electric signals including content are sent to one or several user equipmenies 106 and/or superintendent's equipment 110.

In some embodiments, renderer module 672 can control and/or manage the presentation function of presentation process 670 A part, and can specifically manage " outer loop " that function is presented.As used herein, outer loop is referred to and is tracked The related task of progress in all or part of user's data grouping at one group.In some embodiments, this may include identification One or several completed data groupings or node, and/or according to such as one or several unalterable rules to one A or several next data groupings or node carry out non-adaptive selection.This non-adaptive selection is independent of prediction mould Type use and be to rely on rule, it is described rule based on the complete of the data grouping or assessment being previously completed with one or several At and/or one or several data groupings being previously completed whether successfully complete related data and identify next data Grouping.

In some embodiments, the management of the outer loop and due to presentation function, including renderer module is to one Or the non-adaptive selection of several next data groupings, node or task, renderer module may be used as claiming herein For the first recommended engine or the recommended engine of rule-based recommended engine.In some embodiments, the first recommended engine can quilt It is configured to one or all of following item and selects next node: current location of the user in content network for user； Potential next node；The history of user includes the previous response of user；And it is associated with potential next node One or several protection conditions；In some embodiments, protection condition defines entrance or exits the one or several of node A prerequisite.

In some embodiments, renderer module 672 may include that the part on the server 102 and/or be located at is used Part in family equipment 106.In some embodiments, the part of renderer module 672 being located on server 102 can receive Data packet information, and by the subset of received data packet information be supplied to renderer module 672 be located at user equipment Part on 106.In some embodiments, this separation of function and/or ability can be located to avoid solution data and use In family equipment 106 and avoid potentially being accessed by the user of user equipment 106.

In some embodiments, the part of renderer module 672 being located on user equipment 106 can be further configured to The subset of data packet information is received from the part of renderer module 672 being located on server 102, and by the data grouping The subset of information is supplied to views module 674.In some embodiments, renderer module 672 be located at user equipment 106 on Part can be further configured to request from 674 reception content of views module, and the content requests are supplied to renderer mould The part of block 674 being located on server 102.

Views module 674 can be content distributing network 100 user equipment 106 and/or superintendent's equipment 110 it is some Or whole hardware or software module.Views module 674 can receive one or several electric signals from renderer module 672 And/or communication, and can will be in those one or several electric signals and/or logical via such as input/output subsystem 526 Received content is supplied to the user of user equipment 106 and/or superintendent's equipment 110 in letter.

In some embodiments, views module 674 is controllable and/or monitors " the inside circulation " that function is presented.As herein Used, inside circulation refers to and tracks and/or manage user and pass through the related task of the progress of data grouping.This can be specifically It is related to tracking and/or management user passes through one or several contents, problem, assessment of data grouping and/or the like Progress.In some embodiments, this one or several the next item down content, next that may further include selection data grouping A problem, next assessment and/or the like, for rendering and/or to be supplied to the user of user equipment 106.

In some embodiments, if one of renderer module 672 and views module 674 or both may include one or Dry presentation engine.In some embodiments, these one or several presentation engines may include different ability and/or function Energy.In some embodiments, it is one of engine be presented can be configured to tracking user pass through individual data grouping, task, interior Hold the progress of item etc., and in some embodiments, one of presentation engine can track user and pass through volume of data point The progress of group, task, content item etc..

Response process 676 may include one or several methods and/or step for assessment response.In some embodiments In, this may include for example determining whether response includes desired response and/or undesirable response.In some embodiments, it rings Answer process 676 can include determining that one or several received responses correctness and/or incorrectness it is one or several A method and/or step.In some embodiments, this may include for example determining multinomial Response to selection, true/false response, brief Answer the correctness and/or incorrectness of response, paper response etc..In some embodiments, answer processor can be used for example Natural language processing, semantic analysis etc. determine the correctness or incorrectness of received response.

In some embodiments, response process 676 can be executed by answer processor 678.Answer processor 678 can be interior The hardware or software module of content distributing network 100 and specifically server 102.In some embodiments, answer processor 678 It can implement in response system 406.In some embodiments, answer processor 678 can be communicably connected to presentation process 760 One or more modules, such as renderer module 672 and/or views module 674.In some embodiments, answer processor 678 can communicatedly connect with the other component and/or module of such as message channel 412 and/or content distributing network 100.

Summarizing model process 680 may include one or several sides for generating and/or updating one or several models Method and/or step.In some embodiments, this may include for example realize it is directly or indirectly received from answer processor 678 Information, to update one or several models.In some embodiments, if summarize model process 680 may include with one or The update of dry the relevant model the users ' skills model of user property, user knowledge model, learning style model etc..One In a little embodiments, summarize the update that model process 680 may include model related with one or several contents attributes, it is described Attribute includes and single content item and/or the related attribute of data grouping and/or related with multiple content items and/or data grouping Attribute.In some embodiments, these models can with the attribute such as difficulty of one or several data groupings, distinguish Power, required time etc. are associated.

In some embodiments, summarizing model process 680 can be executed by modeling engine 682.In some embodiments, model Engine 682 can be content distributing network 100 and the specifically hardware or software module of server 102.In some embodiments In, modeling engine 682 can be implemented in summarizing model system 404.

In some embodiments, modeling engine 682 can be communicably connected to one or more modules of presentation process 760 Such as renderer module 672 and/or views module 674, it may be connected to answer processor 678 and/or suggestion.In some implementations In example, modeling engine 682 can be communicably connected to message channel 412 and/or content distributing network 100 other component and/ Or module.

Grouping selection course 684 may include one or several for identifying and/or selecting data grouping to be presented to the user Step and/or method.In some embodiments, which may include multiple data groupings.It in some embodiments, can be with The data grouping is selected according to one or several models updated as a part for summarizing model process 680.Some In embodiment, the data grouping can be selected according to one or several rule, probability, models etc..In some embodiments, may be used By selecting one or several numbers in conjunction with the multiple models updated in summarizing model process 680 by modeling engine 682 According to grouping.In some embodiments, these one or several data groupings can be selected by recommended engine 686.Recommend Engine 686 can be content distributing network 100 and the specifically hardware or software module of server 102.In some embodiments In, recommended engine 686 can be implemented in grouping selection system 402.In some embodiments, recommended engine 686 can be directly And/or it is for example communicably connected to presentation process 670, response process 676 indirectly via message channel and/or summarizes model mistake One or more modules in journey 680.

In some embodiments, and as shown in Figure 9 A, renderer module 672 can receive for rendering to user equipment 106 data grouping.Can the data grouping directly or indirectly be received from recommended engine 686.In some embodiments, example Such as, renderer module 672 can receive the data grouping for being supplied to user equipment 106 from recommended engine 686, and one In a little embodiments, renderer module 672 can receive the data point for being supplied to user equipment 106 via views module 674 The identifier of group.This can be received via message channel 412 from recommended engine 686.In particular, in some embodiments, recommending Engine 686 can provide data to message channel 412, indicate the data grouping for being supplied to user via user equipment 106 Identification and/or selection.In some embodiments, the identification of designation date grouping and/or the data of selection can identify number According to the expection recipient that is grouped and/or can identify data grouping.

Message channel 412 can export the received data in the form of data flow 690, and data flow can be by for example presenting Device module 672, modeling engine 682 and/or recommended engine 686 receive.In some embodiments, renderer module 672, model draw Hold up 682 and/or recommended engine 686 some or all can be configured as parsing and/or filtering data flow 690, with identification with The relevant data of their operation and/or event.Thus, for example, renderer module 672 can be configured as parsing data flow with Obtain information relevant to the operation of renderer module 672 and/or event.

In some embodiments, renderer module 672 can extract data grouping from data flow 690, and/or from The data of identification data grouping and/or instruction selection data grouping are extracted in data flow.Identification number is being extracted from data flow 690 In the case where data according to grouping, renderer module 672 can be from database server 104, and specifically from content library number Data grouping is requested and received according to library 303.In the embodiment of the data for the selection for extracting designation date grouping from data flow 690 In, renderer module 672 can request and receive the mark of data grouping from recommended engine 686, then from database server 104, and specifically, data grouping is requested and received from Content Library Database 303, and is wherein referred to from the extraction of data flow 690 Show in some embodiments of the data of the selection of data grouping, renderer module 672 can be requested and be received from recommended engine 686 Data grouping.

Then, the part of data grouping and/or data grouping can be supplied to views module 674 by renderer module.? In some embodiments, for example, renderer module 672 can be retrieved and can be for example associated with data grouping and/or be stored in data One or several rules and/or condition in library server 104.In some embodiments, these rules and/or conditions can be with The part for being supplied to views module 674 of identification data grouping and/or data grouping are not applied to views module 674 Part.In some embodiments, for example, the non-sensitive part of data grouping is (for example, associated with data grouping any problem Solution information) it is not provided to views module 674, to prevent from undesirably accessing those of data grouping non-sensitive part Possibility.Therefore, in some embodiments, one or several regular and/or conditions can identify the use of data grouping In the part for being not applied to views module for the part and/or data grouping for being supplied to views module 674.

In some embodiments, renderer module 672 can include according to one or more rules and/or condition, generation The all or part of electronic information of data grouping is simultaneously transmitted to views module 674.Views module 674 receives these parts Or all data packets, and can via such as input/output subsystem 526 by these all or part of information be supplied to 106 user of the associated user equipment of views module 674.In some embodiments, the user as direction view module 674 A part of all or part of data grouping is provided, views module 674 can receive one or several user responses.Some In embodiment, these one or several user responses can be received via the input/output subsystem 526 of user equipment 106.

After receiving one or several user responses, views module 674 can ring one or several users Answer processor 678 should be supplied to.In some embodiments, these one or several responses can be supplied directly at response Device 678 is managed, and in some embodiments, these one or more responses can be supplied to indirectly via message channel 412 Answer processor 678.

After answer processor 678 receives one or several responses, answer processor 678 can determine sound Should whether be it is desired response and/or it is received response be desired response degree.In some embodiments, at response Managing device can include carrying out such as natural language processing (NLP), semantic analysis by using a kind of or several technology This is determined.

In some embodiments, answer processor using can it is associated with data grouping relatively data determine respond be No is expected response and/or response is the degree of expected response.In some embodiments, which may include such as phase Hope the instruction of response and/or the instruction of one or several undesirable responses, response key including for determining that response is expectation The response established practice of one or several standards of the degree of response.In some embodiments, relatively data be can receive as data A part of grouping and/or associated with data grouping.In some embodiments, answer processor 678 can be from renderer mould Block 672 and/or from message channel 412 reception compare data.In some embodiments, from the received number of responses of views module 674 According to the data that may include identification user associated with response and/or data grouping or data packet portion.In some implementations In example, answer processor 678, which only receives, to be identified and responds associated data grouping and/or data grouping with one or several Partial data, answer processor 678 can be from database servers 104, and more specifically, from database server 104 Content Library Database 303 request and/or receive to compare data.

After receiving and comparing data, answer processor 678 determines whether one or several responses include desired Response and/or one or several responses include the degree of expected response.Being then responding to processor can be to message Channel 412 provides characterize whether one or several responses include expected response and/or one or several responses include The data of the degree of expected response.As discussed above, message channel can include answer processor 678 in data flow 690 Output, which can constantly be exported by message channel 412.

In some embodiments, modeling engine 682 can subscribe to the data flow 690 of message channel 412, and therefore can be with The data flow 690 of message channel 412 is received, as shown in Figure 9 A.Modeling engine 682 can monitor data flow 690, with identification and mould The relevant data of the operation of type engine and/or event.In some embodiments, modeling engine 682 can monitor data flow 690, To identify and determine whether response is expected response and/or response is the relevant data of the degree of expected response and/or event.

When modeling engine identifies dependent event and/or related data, available the identified correlation of modeling engine 682 Event and/or related data simultaneously modify one or several models.In some embodiments, this may include updating and/or repairing Change one or several models relevant to the user for providing response, updates and/or modify the data grouping phase with associated response One or several models and/or such closed.In some embodiments, it can be examined from database server 104 These models of rope, and in some embodiments, these moulds can be retrieved from the model data source 309 of database server 104 Type.

After model has been updated, updated model be can store in database server 104.In some embodiments In, modeling engine 682 can send the data for the event that instruction model modification is completed to message channel 412.Message channel 412 can Be integrated to the information can be by the received data flow 690 of recommended engine 686.Recommended engine 686 can monitor data flow 690, to identify data relevant to the operation of recommended engine 686 and/or event.In some embodiments, recommended engine 686 can To monitor data flow 690, with identification data relevant to one or several models of update of modeling engine 682 and/or event.

For the relevant model of user and/or mould relevant with the data grouping for being supplied to user responded to offer Type, when recommended engine 686, which identifies instruction in data flow 690, summarizes the information of the completion of model process 680, recommended engine 686 It can identify and/or select for being supplied to user and/or next data grouping of process 470 being presented.In some embodiments In, the selection to next data grouping can be executed according to one or several rules and/or condition.Selected it is next After data grouping, recommended engine 686 can provide the information for identifying the data grouping of next selection to modeling engine 682, And/or the information that instruction selects the event of next content item is provided to message channel 412.It is received in message channel 412 After identifying the information of the selection of next content item and/or receiving next content item, message channel 412 can be by the information It is included in data flow 690, and the process discussed about Fig. 9 A can be repeated.

Referring now to Fig. 9 B, showing can be logical in podium level 654 and/or application layer 656 via message channel 412 The schematic diagram of letter or the second embodiment of processing.In the discribed embodiment of Fig. 9 B, it is supplied to renderer module 672 and then mentions The data grouping for supplying views module 674 does not include the prompt for user response and/or does not cause to receive user response. Due to not receiving response, when data grouping is completed, any content is not provided to answer processor 678, but from view mould One in block 674 and/or renderer module 672 provides the designation date data that grouping is completed to message channel 412.Then, Data are included in data flow 690, and are received by modeling engine 682, and modeling engine is updated one or several using data A model.After modeling engine 682 has been updated one or several models, modeling engine 682 is provided to message channel 412 Indicate the data that model modification is completed.Then, message channel 412 includes the number that instruction model modification is completed in data flow 690 According to, and the recommended engine 686 that can subscribe to data flow 690 can extract the number that instruction model modification is completed from data flow 690 According to.Then, recommended engine 686 can be identified for being supplied to the next of renderer module 672 or several data groupings, so Recommended engine 686 directly or indirectly can provide next or several data groupings to renderer module 672 afterwards.

In some embodiments of communication as shown in fig. 9 a and fig. 9b, any renderer module 672, answer processor 678, all communications between modeling engine 682 and recommended engine 686 can pass through message channel 412.Alternatively, in some realities It applies in example, some communications between any renderer module 672, answer processor 678, modeling engine 682 and recommended engine 686 Can be by message channel, and any renderer module 672, answer processor 678, modeling engine 682 and recommended engine 686 Between other communications can be directly.

Referring now to Fig. 9 C, the implementation of podium level 654 and/or dual communication or mixed communication in application layer 656 is shown The schematic diagram of example.In particular, in the present embodiment, some communications are synchronous with the completion of one or several tasks, and Some communications are asynchronous.Therefore, in the embodiment that Fig. 9 C describes, renderer module 972 is via direct communication 692 and model 682 synchronous communication of engine, and via message channel 412 and 682 asynchronous communication of modeling engine.

In some embodiments, and such as Fig. 9 C is discribed, and renderer module 672, answer processor 678, model draw Hold up 682 and recommended engine 686 synchronous communication and/or operation can by controller guide and/or control.In some embodiments In, controller can be a part of server 102, and/or be located at renderer module 672, answer processor 678, mould In any one or more of type engine 682 and recommended engine 686.In some embodiments, which, which can be located at, is in In existing device module 672, the renderer module can control with answer processor 678, modeling engine 682 and recommended engine 686 it Between and the communication with its own, and therefore renderer module can control answer processor 678, modeling engine 682 and push away Recommend hold up 686 function.

In particular, and refer to Fig. 9 C, renderer module 672 can receive and/or select via views module 674 to use In the data grouping for being presented to the user equipment 106.In some embodiments, renderer module 672 can identify data grouping The all or part and data grouping that views module 674 can be supplied to are not applied to views module 674 for retaining Part.In some embodiments, renderer module can direction view module 674 provide data grouping all or part.Some In embodiment, and in response to all or part of reception of data grouping, views module 674 can be provided to data grouping All or part of received confirmation, and all or part of data grouping can be provided a user via user equipment 106. In some embodiments, all or part of data grouping can be supplied to user equipment 106, same time control by views module 674 System is recycled via user equipment 106 to the inside that data grouping is presented in user.

After all or part of data grouping is supplied to user equipment 106, views module 674 can be from user Equipment 106, and specifically, it is related to the data grouping that instruction is received from the input/output subsystem 526 of user equipment 106 The response of the completion of one or several tasks of connection.In response to the reception, views module 674 can be to renderer module 672 The instruction of the completion status is provided, and/or response can be provided to answer processor 678.

After answer processor 678 receives response, answer processor 678 can determine the response received whether be Desired response.In some embodiments, this may include for example determining whether response includes correct option and/or response Degree including correct option.

After answer processor has determined whether received response is expected response, answer processor 678 can be to Renderer module 672 provide it is received response whether be expected response definitive result instruction.In response to receiving about institute It is received response whether be expected response definitive result instruction, renderer module 672 can be via direct communication 692 and mould 682 synchronous communication of type engine, and can be via message channel 412 and 682 asynchronous communication of modeling engine.In some embodiments In, synchronous communication can advantageously comprise the two-way communication between modeling engine 682 and renderer module 672, so that model draws Instruction can be provided to renderer module 672 when modeling engine completes model modification by holding up 682.

After one or both of synchronous and asynchronous communication has been received in modeling engine 682, modeling engine 682 can To update and one or several related models such as user, data grouping.If modeling engine 682 complete one or After the update of dry model, modeling engine 682 can send to renderer module 672 and communicate, if indicate one updated or The completion of dry module.

After the communication that renderer module 672 receives the update that one or several models are completed in instruction, renderer Module 672 can send the communication that request identifies next data grouping to recommended engine 686.As described above, then recommending to draw It holds up the model that 686 can retrieve update and retrieves user information.Using the model and user information of update, recommended engine can be known It Yong Yu be supplied to next data grouping of user, and data grouping can be supplied to renderer module 672.Some In embodiment, recommended engine 686 further can provide the instruction of next data grouping to modeling engine 682, connect in determination After whether the response of the data grouping of receipts is expected response, which can be used information related with next data grouping Update one or several models immediately or after receiving communication from renderer module 672.

Referring now to Fig. 9 D, it illustrates the schematic diagrames of one embodiment that process 670 is presented.In particular, Fig. 9 D is retouched The multiple portions of renderer module 672, i.e. exterior section 673 and interior section 675 are drawn.In some embodiments, renderer The exterior section 673 of module 672 can be located in server, and in some embodiments, the inside portion of renderer module 672 Divide 675 can be located in user equipment 106.In some embodiments, as discussed herein, the exterior section of renderer module 673 can be configured to communicate and/or exchange data with the interior section 675 of renderer module 672.For example, in some embodiments In, the exterior section 673 of renderer module 672 can receive data grouping, and data grouping can be parsed into and be used to mention It supplies the part of the interior section 675 of renderer module 672 and is not applied to the portion of the interior section 675 of renderer module 672 Point.In some embodiments, the exterior section 673 of renderer module 672 can be from the interior section 675 of renderer module 672 Receive the request to additional data and/or additional data packet.In such embodiments, the external portion of renderer module 672 Points 673 can be from such as database server 104 and more specifically from the number of Content Library Database 104 identification and retrieval request According to and/or additional data packet.

Referring now to Figure 10 A, a flow chart is shown, which illustrates one of the process 440 for data management A embodiment.In some embodiments, process 440 can be executed by content management server 102, more specifically, being by presenting Engine execution is presented in system 408 and/or presentation module.In some embodiments, process 440 can be used as presentation process 670 A part executes.

Process 440 starts at frame 442, and data grouping is identified at the frame.In some embodiments, data grouping can be with It is the data grouping for being provided to User.It in some embodiments, can be based on direct or indirect from recommended engine 686 Received communication is to identify data grouping.

After identifying data grouping, process 440 advances to frame 444, the request data packet at the frame.In some implementations In example, this may include request information related with data grouping, such as form the data of data grouping.In some embodiments In, this information can be requested from such as Content Library Database 303.After request data packet, process 440 advances to frame 446, Data grouping is received at the frame.In some embodiments, data grouping can be by presentation system 408 from such as Content Library Database 303 receive.

After receiving the data packet, process 440 advances to frame 448, one or several data are identified at the frame Component.In some embodiments, for example, data grouping may include one or several data packages, the data package can For example comprising different data.In some embodiments, (this is referred to herein as presentation group to one of these data packages Part) it may include content for being provided to User, which may include one or several requests and/or problem Deng.In some embodiments, one of these data packages (referred to herein as response group) may include in response to data Grouping, and specifically, in response to component is presented and/or one or several requests and/or problem of component are presented, for commenting Estimate from the received data that one or several are responded of user equipment 106.Therefore, in some embodiments, the data grouping Response assemblies can be used for determining whether user provides desired response or undesirable response.

After identifying data package, process 440 advances to frame 450, the identification delivering data grouping at the frame.Some In embodiment, delivering data grouping may include the data for being delivered to user's such as User via user equipment 106 One or several data packages of grouping.In some embodiments, delivering grouping may include presentation component, and some In embodiment, delivering grouping can exclude respond packet.After generating delivering data grouping, process 440 advances to frame 452, Data grouping is delivered in the frame and is provided to user equipment 106, and is more specifically supplied to views module 674.Some In embodiment, this may include providing delivering data grouping to user equipment 106 via such as communication network 120.

After delivering data grouping has been applied to user equipment 106, process 440 advances to frame 454, the number at the frame Answer processor 678 is sent and/or is supplied to according to grouping and/or one or several component.In some embodiments, to Answer processor send data grouping and/or one or several component may include receive to respond from User, and Send data grouping and/or while one or several component arrives answer processor transmission to the response of User to sound Answer processor.In some embodiments, for example, this may include providing response assemblies to answer processor.In some embodiments In, response assemblies can be supplied to answer processor from presentation system 408.

Referring now to Figure 10 B, a flow chart is shown, the flow diagrams illustrate one of the process 460 of assessment response Embodiment.In some embodiments, a part which can be used as response process 676 executes, and can be for example by ringing It answers system 406 and/or is executed by answer processor 678.In some embodiments, response system 406 may be in response to set from user It directly or indirectly receives and responds and implementation procedure 460 for 106 or from views module 674.

Process 460 starts at frame 462, receives and rings from user equipment 106 via such as communication network 120 at the frame It answers.After response has been received, process 460 advances to frame 464, and data point associated with response are received at the frame Group.In some embodiments, this may include receiving the whole or one or several components of data grouping, such as data grouping Response assemblies.In some embodiments, answer processor can receive data grouping from engine is presented.

After receiving the data packet, process 460 advances to frame 466, and respond style is identified at the frame.In some realities It applies in example, which can be executed based on data metadata such as associated with response.In other embodiments, it can be based on Data packet information such as response assemblies execute identification.

In some embodiments, respond style can identify one or several requests and/or problem of data grouping One or several attributes are such as requested and/or problem types.In some embodiments, this may include by one or several Some or all of request and/or problem are identified as true/false, multinomial selection, brief answer, paper etc..

After identifying respond style, process 460 advances to frame 468, compare at the frame data grouping and response with Determine whether response includes desired response and/or undesirable response.In some embodiments, this may include comparing reception Response and data grouping with determination it is received response whether matched data be grouped response assemblies all or part, with determination The all or part of matching degree of received response and response assemblies, with the response of the received response implementation data grouping of determination The degree etc. of one or several quality identified in component.In some embodiments, this may include according to one or several A rule classifies to response.In some embodiments, these rules can be used for response taxonomy being desired or undesirable Response.In some embodiments, these rules can be used to identify one or several indicated mistakes in response and/or miss Solution.In some embodiments, this may include for example: use natural language processing software and/or algorithm；Use one or several Digital dictionary；Sort out software, dictionary and/or algorithm using morphology；Deng.

After being compared to data grouping and response, process 460 advances to frame 470, and the response phase is determined at the frame Prestige degree.In some embodiments, this may include the comparison result based on data grouping and response, determine that response is desired sound It should still undesirable response.In some embodiments, this may also include the degree that quantization response is expected response.For example, should It determines and can include determining that whether response is correct response, incorrect response, the correct response in part etc..In some embodiments, The determination of response expecting degree may include generating the value of characterization response expecting degree, and the value is stored in database 104 such as In one of subscriber profile database 301.After determining response expecting degree, process 460 advances to frame 472, at the frame Generate assessed value.In some embodiments, assessed value can be the polymerizing value of the response expecting degree of the one or more responses of characterization. The assessed value is storable in one in database 104 such as subscriber profile database 301.

Referring now to Figure 11, it shows a flow chart, which illustrates the process 700 for auto-polymerization delivering One embodiment.If process 700 can include by some or all components of content distributing network 100 for example, by one or Dry server 102 executes.In some embodiments, these one or several servers 102 may include one or several A remote resource can such as occur via cloud computing or distributed treatment.Process 700 starts at frame 702, connects at the frame Receipts or/retrieval user identifier.In some embodiments, user identifier can be from user equipment 106 and/or from superintendent's equipment 110 receive.For example, in some embodiments, user identifier can be supplied to user via input/output subsystem 526 and set Standby 106 and/or superintendent's equipment 110, and server can be transmitted to via communication subsystem 532 and communication network 120 102.In some embodiments, user identifier may include User ID, password, user name etc..

After user identifier has been received, method 700 advances to frame 704, and user data is retrieved at the frame.? In some embodiments, this may include such as identification user associated with user identifier, and from data repository 104 One of in associated with the user user data of retrieval, it is literary from user configuration and in particular, in some embodiments Above-mentioned retrieval is carried out in part data repository 301.

After having retrieved user data, process 700 advances to frame 706, and number of tasks is retrieved and/or received at the frame According to.In some embodiments, user task data can specify one or several tasks that user starts and/or completes.? In some embodiments, user task data can identify for successfully complete the one or several task one or several Technical ability, grade of skill etc..In some embodiments, these one or several technical ability, grade of skill etc. can correspond to: succeed At the technical ability of required by task；The degree of difficulty or difficulty level of task；Deng.In some embodiments, such a or several A task can correspond to individual data grouping, and in some embodiments, such a or several tasks can correspond to Multiple data groupings.In some embodiments, which can be related to the content of one or several data groupings, but can be The experience or event that do not implement in data grouping.In some embodiments, task can be by server 102 by from content library The information of one or several tasks of retrieval such as schedule and/or outline determines in data repository 303.In some realities It applies in example, server 102 can determine the progress of user by schedule and/or outline and can identify currently outstanding Business and/or next task.In some embodiments, then server 102 can retrieve data relevant to determining for task, These data can identify one or several content objects for example related and/or related to the task.In some embodiments In, these one or several related to task and/or related content object phases or with these one or several contents pair As associated data may include user task data.

It in some embodiments, can be based on identifying that one or several users of one or several tasks or target are defeated Enter from Content Library Database 303 and retrieves user task data.For example, in some embodiments, user can be to user equipment 106 Input is provided, input identification needs one or several tasks of content-aggregated delivering.In response to receiving the input, service Device 102 can inquire Content Library Database 303 to obtain information relevant to one or several tasks identified.Server Then 102 can retrieve data relevant to determining for task, these data can identify for example related to the task and/or have One or several content objects closed.In some embodiments, these it is related to task and/or it is related one or several Content object phase or data associated with these one or several content objects may include user task data.

In some embodiments, it is related to being identified for task to may further include identification for the retrieval of user task data One or several technical ability and/or grade of skill.In some embodiments, for example, these relevant technical ability and/or technical ability etc. Grade can be determined based on one or several related to the task and/or related content items.In some embodiments, these phases Closing technical ability and/or grade of skill can be determined based on information such as job metadata associated with task.

After retrieving user task data, process 700 advances to frame 708, wherein receiving and/or retrieving at the frame User time constrained parameters.In some embodiments, user time constrained parameters can identify the correlation for example identified in frame 708 The required beginning of task or the time quantum before completion.In some embodiments, user time constrained parameters can be absolute, And the physical time amount between the time for executing frame 708 can be tracked, the physical time amount is by associated with server 102 One or several clocks or timestamp and/or 102 received data of server and being identified at frame 706 for task open Begin or the deadline determines.In some embodiments, when user time constrained parameters may include that identification is user-defined available The data of the area of a room, such as user can be dedicated to the time quantum of task and/or eligible task immediately.In such embodiments, User can define the amount of pot life via the input at user equipment 106, which can be supplied to server 102. In some embodiments, user time constrained parameters can use letter based on the historical time of the user of content distributing network 100 Breath.In some embodiments, for example, server 102 can exist from 301 retrieval user of user profile data repository It is such as interacted in past one day or several days, a few weeks, some months and/or several years with content distributing network 100 during a period of time The information of time quantum.Content distributing network 102 can also be based on related to user and be included in the storage of user profile data The information for other tasks that other information in library 301, such as identification are completed for user, for being identified at frame 706 for task Determine the estimator of user's pot life.

After receiving user time constrained parameters, process 700 advances to frame 710, receives and/or retrieves at the frame User grasps data.In some embodiments, which can identify one or several technical ability and/or technical ability of user Grade.In some embodiments, one or several technical ability and/or grade of skill of identification can correspond to associated with task , at frame 706 determine one or several technical ability and/or grade of skill.In some embodiments, it can be taken from database Business device 104 retrieves master data, in particular, can retrieve master data from user profile data repository 301.

Receive/or after retrieving master data, process 700 advances to frame 712, data are presented in selection at the frame. In some embodiments, present data may include for being presented to user one or several are content-aggregated.In some implementations Example in, these it is content-aggregated can by user generate and/or can be generated from the source other than user.In some embodiments In, these one or several it is content-aggregated can be associated with user, and can store in database server 104, And it is specifically stored in subscriber profile database repository 301 and/or content library data repository 303.Some In embodiment, it can choose and data are presented to prepare for the task maximum user identified at frame 706, and specifically It says, to increase one or several technical ability and/or grade of skill of user, wherein one or several technical ability and/or skill Energy grade differs greatly from one or several technical ability associated with the task and/or grade of skill.

After data are presented in selection, process 700 advances to frame 714, and the sequence that data are presented is determined at the frame.One In a little embodiments, the sequence that data are presented may include the sequence polymerizeing to user's presentation content and/or to user's presentation content The frequency of polymerization.In some embodiments, one or several content-aggregated frequencies being presented to the user that are repeated may include Expected time interval between one or several content-aggregated repetitions are presented, and/or repeat to present one or The desired intermediate content-aggregated quantity presented before several are content-aggregated.

In some embodiments, content-aggregated presentation sequence and/or one or several content-aggregated frequencies are presented It can be based on one or several attributes of user, one or several technical ability or grade of skill etc..In some embodiments In, the sequence of presentation can change during the content-aggregated time for being presented to user, and particularly, the sequence of presentation And/or the frequency presented can be based on changing to during the polymerization of user's presentation content from response to the received response of user.Example Such as, in some embodiments, the users ' skills and/or grade of skill can be provided based on user one or several responses and change Become, and the frequency of the sequence and/or presentation therefore presented can in response to this change technical ability and/or grade of skill and change Become.

In some embodiments, content-aggregated presentation sequence and/or frequency can be controlled according to sort algorithm.One In a little embodiments, this may include such as Leitner Box algorithm.For example, in some embodiments, each content of data is presented Polymerization can based on be for example arranged to the content-aggregated relevant the users ' skills or grade of skill one or several set or Group.In some embodiments, for example, can be based on the user response data content-aggregated for this, and specifically, Yong Hushi The no frequency that correctly or incorrectly responds content-aggregated to this in response to the content-aggregated and/or user correctly or in error Rate, will present each of data it is content-aggregated be arranged to one or several set or group.

In some embodiments, and provide a user it is content-aggregated before, can be based on content-aggregated related to this The users ' skills grade will it is content-aggregated be placed on one or several set in one of them in.In some embodiments, And it is content-aggregated due to having provided a user, and receive the response content-aggregated to this, therefore can will be content-aggregated It is moved in different one in one or several content-aggregated set.In some embodiments, for example, if user It, then can be based on the incorrect response or user's skill as caused by the incorrect response improperly in response to content-aggregated Any one of the decline of energy grade, is downgraded to " lower " content-aggregated set for content-aggregated.Similarly, in some embodiments In, for example, if user be appropriately responsive to it is content-aggregated, can based on this it is correct response or due to this it is correct response lead The users ' skills grade of cause it is increased any one, upgrade to " higher " content-aggregated set for content-aggregated.In some implementations In example, each of these set can join with the frequency dependence being presented to the user, so that " lower " set is more frequently presented To user, " higher " set is presented to the user less frequently.

It in some embodiments, sequentially may include one or several rules with frequency algorithm, it in some cases, can One or several content-aggregated frequencies are presented with limitation.For example, in some embodiments, sequentially can wrap with frequency algorithm Include one or several thresholds for specifying maximum allowable frequency and/or minimum allowable time quantum between content-aggregated repetition presentation Value.In some embodiments, when select it is content-aggregated for repeat present when, if can sequentially be retrieved with frequency algorithm one or Dry threshold value and identification selected content-aggregated frequence of exposure and/or the data of content-aggregated last presentation time.Sequence and Frequency algorithm can compare one or several threshold values retrieved and identification selected content-aggregated frequence of exposure and/or content The data of the last presentation time of polymerization, to determine whether that selected content-aggregated repetition is presented.If allowing content poly- The repetition of conjunction is presented, then it is content-aggregated for presentation to can choose this.

If content-aggregated repetition is not allowed to present, can sequentially be retrieved with frequency algorithm one or several rule with Selection for rendering optionally it is content-aggregated.In some embodiments, these rules can specify from selection previously selected in Hold and new content for rendering is selected to polymerize in the identical content-aggregated set of polymerization.If previously therefrom selected content-aggregated Content-aggregated in identical content-aggregated set does not allow to present, then rule can specify from " lower " content-aggregated set It selects content-aggregated.These steps can be repeated, until identifying the content-aggregated of permission and/or until determination does not allow It is content-aggregated for rendering until.Do not allow it is content-aggregated for rendering in the case where, then can choose closest to permission Present it is content-aggregated and/or can be randomly selected content-aggregated.

After determining sequence and/or frequency that data are presented, process 700 advances to frame 716, mentions at the frame to user For the date is presented.It in some embodiments, can be by generating and sending one or several electric signals including data are presented To provide a user presentation data.In some embodiments, these one or several electric signals can be given birth to by server 102 At, and user equipment can be sent to via such as communication network 120 and communication subsystem 532.In some embodiments, this A little electric signals can be sent in all alarms as described above in the form of communication.In some embodiments, the step of frame 714 and 716 Suddenly can to user present it is any it is content-aggregated before execute, and can also to user present it is each it is content-aggregated before It executes.

Referring now to Figure 12, it shows a flow chart, the flow diagrams illustrate the processes of the Content supply based on decaying 800 one embodiment.If process 800 can include by whole components of content distributing network 100 for example, by one or Dry server 102 executes.In some embodiments, these one or several servers 102 may include one or several A remote resource can such as occur via cloud computing or distributed treatment.Process 800 starts at frame 802, examines at the frame Rope task.In some embodiments, this can correspond to the step of frame 706 of process 700.After having retrieved test, Process 800 advances to frame 804, one or several task objects are identified at the frame.In some embodiments, these task mesh Mark, which can identify, completes required by task and/or requirement one or several technical ability and/or grade of skill.In some embodiments In, these one or several technical ability or grade of skill can be identified in user task data and/or in frame 802 The task of retrieval is associated.

After identification mission target, process 800 advances to frame 806, and user's history is retrieved at the frame.In some implementations In example, user's history can be retrieved from subscriber profile database 301 from database server 104, and specifically.? In some embodiments, user's history may include one or several models such as learning model and/or attenuation model.In some realities It applies in example, these one or several models can mark one or several user properties such as one or several the users ' skills And/or the date of the users ' skills grade.

After retrieving user's history, process 800 advances to frame 808, retrieves and/or determine that user grasps at the frame Grade.In some embodiments, user's history data may include friendship of the identification instruction based on user Yu content distributing network 100 One or several the users ' skills and/or user that mutually (for example, interaction of user and one or several data groupings) determines The information of the grasp grade of grade of skill, and/or related information is inputted with the user of content distributing network 100.One In a little embodiments, determining that user grasps grade may include the information extracted identification from user's history data and grasp grade.

After determining and/or retrieving user and grasp grade, process 800 advances to frame 810, determines user at the frame Decay profiles.In some embodiments, user's decay profiles are based on attenuation model and/or are attenuation models.One In a little embodiments, attenuation model may include statistical model, statistical model identification and/or one or several for predicting user Technical ability or grade of skill are degenerated and/or the rate of decline.In some embodiments, which can be based on for example in user One or several user properties identified in history.These user properties may include such as one or several preferences, learn Practise style, cognitive ability or intellectual level, passing technical ability or grade of skill decaying etc..

After determining decay profiles, process 800 advances to frame 812, and the grasp etc. of decaying modification is determined at this Grade.In some embodiments, this may include being adjusted according to one or several user's relevant parameters using decay profiles The grasp grade of the retrieval of frame 808, user's relevant parameter include the determination of the grasp grade such as retrieved in block 808 With between the determination of the grasp grade of the decaying modification in frame 812 time quantum, the grasp grade retrieved is really in block 808 It is fixed that interaction is interacted or lacked with the user of content distributing network between the determination of the grasp grade of the decaying modification in frame 812 Deng.In some embodiments, decay modification grasp grade determination may include based on retrieved in frame 806 user's history inspection Rope and/or determine these one or several parameters, by these one or several parameters be input to decay profiles and/or In attenuation model, the grasp grade retrieved is input in decay profiles, and from decay profiles output attenuatoin The grasp grade of modification.In some embodiments, the determination of grasp grade of modification of decaying can be executed by processor 102, and And it by modeling engine 682 and/or model system 404 can be summarized executes.

Determine decaying modification grasp grade after, process 800 advances to frame 814, at this will determine reach and/or Realize the processing time of the task object determined in frame 804.In some embodiments, this may include the palm for determining decaying modification Hold grade and one or several technical ability for wherein implementing and/or grade of skill with implement in task object it is one or several Difference between a technical ability or grade of skill.In some embodiments, decay modification grasp grade and task object in implement One or several technical ability and/or grade of skill between difference can be input in user model, or it is more specifically defeated Enter into learning model.In some embodiments, the processing time of the exportable estimation for realizing task object of user model.

After determination reaches one or several task objects the processing times, process 800 advances to frame 816, Identify that one or several are potential content-aggregated at the frame.In some embodiments, content-aggregated to be generated simultaneously by user And/or person can be generated by the source other than user.In some embodiments, these one or several content-aggregated can store In database server 104, and specifically, it is stored in the Content Library Database 303 of database server 104 and/or uses In family configuration files database 301.In some embodiments, these one or several it is content-aggregated can correspond to and/or It is related to one or several task objects and/or associated one or several with these one or several task objects A technical ability and/or level of skill.It in some embodiments, can be based on one or several are content-aggregated associated with those Information and content-aggregated with task object chain to fetch identification potential content-aggregated by these one or several.In some realities It applies in example, can be based further on and for example indicate the data of content-aggregated validity, indicate and the content-aggregated associated time It is required that data, potential content-aggregated to identify to content-aggregated relevant user feedback etc..

After identification is potentially content-aggregated, process 800 advances to frame 818, the grasp based on decaying modification at this Grade and task object mapping path.In some embodiments, path may include the potential content-aggregated sequence identified It presents.For example, in some embodiments, it is potential it is content-aggregated can be with the content and/or data point that can press hierarchical relationship sequence Group is associated.In some embodiments, these hierarchical relationship mapping paths can be based on, are passed in order to provide potential content-aggregated Sequence is sent, the sequence is corresponding with the hierarchical relationship of these content-aggregated and/or associated related contents.In some embodiments In, path can be mapped by server 102, and specifically be mapped by recommended engine 686 and/or grouping selection system 402.

After mapping path, process 800 advances to frame 820, one or several is selected content-aggregated to be used at this Delivering.In some embodiments, selection is for first in the content-aggregated mapping that can correspond to determine at frame 818 of delivering It is content-aggregated.In some embodiments, selection can be selected for the content-aggregated of delivering by server 102, and specifically It is selected by recommended engine 686 and/or grouping selection system 402.

After selection is content-aggregated for delivering, process 800 advances to frame 822, delivers at this content-aggregated.One In a little embodiments, content-aggregated delivering may include that will pass comprising one or several electric signals from content-aggregated data It is sent to user equipment 106, and via input/output subsystem 526 by the content-aggregated user for being presented to the user equipment.Example Such as, in some embodiments, this may include directly or indirectly being delivered to current block from recommended engine 686 for content-aggregated 672, it is then delivered to views module 674.In some embodiments, and after delivering is content-aggregated, user can be inside Hold polymerization and one or several responses are provided, the response can directly or indirectly pass to answer processor 678, at response Reason device can assess the response, and assessment can influence to gather with aggregated content or user and one or several future contents One or several relevant models of any one of the offer of conjunction.

Referring now to Figure 13, it shows a flow chart, which illustrates the process for generating automated content polymerization 900 one embodiment.If process 900 can by whole components of content distributing network 100 include for example by one or Dry server 102 executes.In some embodiments, these one or several servers 102 may include one or several A remote resource can such as occur via cloud computing or distributed treatment.Process 900 starts at frame 902, connects at the frame Receive customer identification information.In some embodiments, user's knowledge can be received from user equipment 106 and/or from superintendent's equipment 110 Other information.For example, in some embodiments, customer identification information can be supplied to user via input/output subsystem 526 and set Standby 106 and/or superintendent's equipment 110, and server can be transmitted to via communication subsystem 532 and communication network 120 102.In some embodiments, customer identification information may include User ID, password, user name etc..

After receiving customer identification information, process 900 advances to frame 904, if provided a user at this one or The content of dry Data Packet Forms.In some embodiments, one or several data groupings may include text, figure Picture, video, audio etc..In some embodiments, content can be via communication network 120, communication subsystem 532 and user equipment 106 are supplied to user from server 102.In some embodiments, the content for being supplied to user can be selected by recommended engine 686, And it can directly or indirectly be delivered to and module 672 and views module 674 is presented.

After having provided a user content, process 900 advances to frame 906, and reception content selects at the frame.Some In embodiment, for example, user can select the complete of provided content via the input/output subsystem 526 of user equipment 106 Portion or part.In some embodiments, which may include highlight text, textual portions, image, audio content, video Content etc..Selected content can be delivered to the logical of user equipment 106 from the input/output subsystem 526 of user equipment 106 Believe subsystem 532, is then delivered to server 102 via communication network 120.

After receiving content selection, process 900 advances to frame 908, and content selection is resolved to sentence at the frame. In some embodiments, one or several natural language processing (NLP) technologies can be used and/or operate in such as server One or several natural language processing software programs on 102 execute the parsing.It in some embodiments, can be via week Content selection is parsed into sentence by the identification of phase, space, capitalization etc..

In some embodiments, content selection being resolved to sentence can also include the filtering to selected content to realize text This cleaning.In some embodiments, text cleaning can remove and/or reduce the quantity of undesired artifact in selected content. In some embodiments, text cleaning may include such as double quotation marks standardization, the words with hyphen connects, footnote is quoted Removal, removal of additional space etc..In some embodiments, double quotation marks standardization may include turning left quotation marks and double closing quote Change standard double quotation marks into.In some embodiments, the words connection with hyphen may include identification due to being located at end of line and band The words of the words of hyphen, the hyphen for removing those identifications and connecting band hyphen.In some embodiments, footnote draws With the footnote reference that may include the reference of identification footnote and removal identification.In some embodiments, removal additional space can wrap It includes and identifies two or more continuous blank characters, and replace the continuous blank character of the two or more with single blank character. In some embodiments, text cleaning can be executed before by selected Context resolution at sentence.

After selected content is resolvable to sentence, process 900 advances to frame 910, the case statement at the frame.? In some embodiments, this may include the previously non-selected sentence of selection.For example, in some embodiments, the selection of sentence can be with Including being identified by the sentence for identifying Context resolution at sentence in frame 908, previously non-selected sentence is identified, and right Previously non-selected one of sentence is selected.When in some embodiments, indicating the value of selection and selecting the sentence Sentence is associated.

After having selected sentence, process 900 advances to frame 912, generates word for the part of selected sentence at the frame Property label.In some embodiments, part of speech label can identify the class of one or several words or phrase in selected voice Not or classify.In some embodiments, these may include for example as noun, pronoun, adjective, determiner, verb, pair The classification of word, preposition, conjunction, interjection etc..In some embodiments, these may include identifying that one or several nouns are short Language, verb phrase, Adjective Phrases, adverbial phrase, prepositional phrase etc..In some embodiments, it can be used by server 102 The natural language processing technique of execution and/or the natural language processing software executed by server 102 identify each of selected sentence Part.In some embodiments, label can be associated with the associated each words of same part of speech and/or phrase.In some realities It applies in example, which may include the data of the part of speech of identification and the instruction identification of associated words and/or phrase.These marks Label can store in database server 104, and can specifically be stored in Content Library Database 303 and/or user matches It sets in document data bank 301.

After generating part of speech label, process 900 advances to frame 914, generates and divides for selected sentence at the frame Analysis tree.Parsing tree is a kind of orderly root tree, and based on context free grammar indicates the syntactic structure of selected sentence.Some In embodiment, parsing tree can be created according to one or several phrase structure grammars or one or several dependency grammars.

In some embodiments, parsing tree may include root and multiple branches.In some embodiments, root can identify parsing It, can be with alphabetical " S " come the root of spectroscopic analysis tree for creating the sentence of parsing tree, and in some embodiments.Some In embodiment, each of multiple branches can be associated with one in the associated words of same part of speech label or phrase. The natural language that parsing tree can be used the natural language processing technique executed by server 102 and/or be executed by server 102 Processing software generates.Parsing tree can store in database server 104, and can specifically be stored in content library number According in library 303 and/or subscriber profile database 301.

In some embodiments, after creating parsing tree, it can be estimated that parsing tree is to verify point for being directed to sentence and creating Analysis tree.If parsing tree is not associated with sentence such as complete sentence, created parsing tree is abandoned.If parsing tree is lost It abandons, then process advances to frame 922, and will continue as described below.

After creating parsing tree, process 900 advances to frame 916, the noun phrase in the frame in discriminance analysis tree. In some embodiments, this may include assessing some or all of branches of parsing tree, with each of these person of determination, divide Whether some or all of the branch of analysis tree are associated with noun phrase.Server 102 can be in response to for selected sentence Creation parsing tree so that execute the identification to the noun phrase in parsing tree automatically.

After the noun phrase in discriminance analysis tree, process 900 advances to frame 918, and rationality phrase is created at the frame Subset.In some embodiments, the subset of rationality phrase includes the noun of the identification based on one or several Attributions selections A part of phrase.It in some embodiments, can be poly- to improve content based on the subset of the Attributions selection rationality phrase of consideration The quality of conjunction.In some embodiments, the subset of rationality phrase can exclude the noun with multi-character words and/or very few words Phrase.The creation of the subset of rationality phrase can be executed automatically by server 102.

After the subset of creation rationality phrase, process 900 advances to frame 920, generates at the frame content-aggregated.One In a little embodiments, it can be generated for each noun phrase in rationality phrase subset content-aggregated.In some embodiments, may be used Content-aggregated to generate, so that a part of noun phrase is identified as extracting, and a part of noun phrase is identified as Part is presented.In some embodiments, content-aggregated presentation part can be supplied to user, and user can pass through knowledge Not and/or attempt to identify that extraction comes in response to the presentation part.It is content-aggregated to be generated by server 102, and content is poly- Conjunction can store in database server 104, and specifically be stored in subscriber profile database 301 and/or content In library database 303.

After generation is content-aggregated, process advances to decision-making state 922, determines whether there is in the decision-making state attached Add, non-selected sentence.In some embodiments, this can include determining that any one of the sentence parsed in frame 908 is It is no unrelated with the value of selection is indicated.If any one of the sentence of parsing is unrelated with the value of selection is indicated, process 900 is returned Return to frame 910, and it is as outlined above as continue.

Again return to decision-making state 922, if it is determined that do not add sentence, then process 900 proceeds to frame 924, at this Content-aggregated generation is completed at frame.In some embodiments, this may include generating and sending to user to indicate in selected content Hold the alarm that polymerization is completed.In some embodiments, this may further include to user and content-aggregated one generated be presented It is a little or all, it is for selection, assess, check.In some embodiments, generating content-aggregated completion may further include Content-aggregated be linked to generated is therefrom generated into one or several content-aggregated data groupings.

Referring now to Figure 14, it shows a flow chart, the flow diagrams illustrate for the name in automatic identification parsing tree One embodiment of the process 940 of word phrase.Process 940 can be used as a part of the step of frame 916 shown in Figure 13 or replace It is executed for the step.In some embodiments, process 940 can be by another portion of server 102 or content distributing network 100 Part executes.Process 940 starts at frame 942, the root of discriminance analysis tree at the frame.In some embodiments, can by " S " of search instruction root carrys out the root of discriminance analysis tree in parsing tree.

After the root of discriminance analysis tree, process 940 proceeds to frame 944, and proceeds to branch from root.In some implementations In example, this may include all branches in discriminance analysis tree, identifies the descendent subset not yet proceeded to, then proceed to this point One of branch subset.In some embodiments, when branch is executed in advance, the value that has been executed in advance of instruction branch can be with The branch is associated.In some embodiments, which can store the identical portions in the database server 104 comprising parsing tree In point, such as subscriber profile database 301 and/or Content Library Database 303.

After advancing from root to branch, process 940 advances to frame 946, and the word of the branch proceeded to is retrieved at the frame Property label.In some embodiments, this may include the branch that identification proceeds to, and identify part of speech mark associated with the branch Label, and from database server 104, specifically from subscriber profile database 301 and/or Content Library Database 303 Middle retrieval part of speech label.After retrieving part of speech label, process 940 proceeds to frame 948, and the word of branch is identified at frame Property.In some embodiments, this may include extracting data from the part of speech label retrieved in frame 946, and specifically can be with Data including extracting identification part of speech from the part of speech label retrieved in frame 946.

After the part of speech of identified branch, process 940 proceeds to decision-making state 950, determines whether there is at this Branch that is additional, not yet proceeding to.In some embodiments, this may include the letter of all branches of retrieval parsing tree Breath, and determine whether any branch of parsing tree is uncorrelated to the value that instruction has progressed to.If certain branches not with finger Show that the value that has progressed to is associated, then process 940 returns to frame 944, and it is as outlined above as continue.Or Person, if all branches are all associated with the value that instruction has progressed to, process 940 proceeds to frame 952, and proceeds to figure 13 frame 918.

Referring now to Figure 15, it shows a flow chart, which illustrates the subset for automatically creating rationality phrase Process 960 one embodiment.Process 960 can be used as a part of the step of frame 918 shown in Figure 13 or substitute the step It is rapid to execute.In particular, process 960 can be performed to create the subset of rationality phrase.Process 960 starts at frame 962, at this Noun phrase is selected at frame.In some embodiments, this may include the previously non-selected noun phrase of selection.For example, some In embodiment, the selection of noun phrase may include identify the noun phrase identified in parsing tree in the frame 916 of process 900, One in the previously non-selected noun phrase of identification and the previous non-selected noun phrase of selection.In some embodiments, When selecting noun phrase, indicate that the value of selection is associated with the noun phrase.

After having selected noun phrase, process 960 advances to frame 964, is determined in selected noun phrase at the frame Words counts.In some embodiments, this may include determining the word for including based on the parsing to noun phrase in noun phrase Word, and for each words count-up counter in noun phrase.In some embodiments, the words in noun phrase counts It can store in database server 104.

In determining noun phrase after the counting of words, process 960 proceeds to frame 966, receives and/or examines at the frame Rope size threshold value.For example, in some embodiments, size threshold value may include single value, and in some embodiments, size Threshold value may include multiple values.In some embodiments, for example, size threshold value can specify minimum value and maximum value.Some In embodiment, size threshold value can be received from user equipment 106, and in some embodiments, it can be from database server 104 retrieval size threshold values.

After reception/retrieval size threshold value, process 960 proceeds to frame 968, counts words and size threshold at the frame Value is compared.In some embodiments, this may include counting words to be compared with single value or multiple values.In threshold value packet In the embodiment for including minimum value and maximum value, words can be counted and be compared with minimum value and maximum value.By words meter After number is compared with size threshold value, process 960 proceeds to frame 970, based on comparative result to the noun phrase of selection at the frame Distribute Boolean.For example, in some embodiments, when noun phrase has the acceptable size compared with threshold value, the first cloth Value of can be assigned to the noun phrase；And when noun phrase has the unacceptable size compared with threshold value, the second cloth Value of can be assigned to the noun phrase.In some embodiments, these Booleans can be associated with their noun phrase, And it can store in database server 104, and be specifically stored in subscriber profile database 301 and/or interior Hold in library database 303.

After the allocated Boolean, process 960 proceeds to decision-making state 972, determines whether there is at this additional Noun phrase.In some embodiments, this can include determining whether there is any noun unrelated with the value of selection is indicated Phrase.If it is determined that there are additional noun phrase, then 960 return frame 962 of process, and it is as outlined above as continue. Or, if it is determined that without additional, previously non-selected noun phrase, then process 960 proceeds to frame 974 and proceeds to Figure 13 Frame 920.

Referring now to Figure 16, it shows a flow chart, which is illustrated for generating the detailed of automated content polymerization One embodiment of process 980.Process 980 can be used as a part of the step of frame 920 shown in Figure 13 or substitute the step To execute.In particular, can generate it is content-aggregated when implementation procedure 980.Process 980 starts at frame 982, at the frame Select noun phrase.In some embodiments, this may include the previously non-selected noun phrase of selection.For example, in some implementations In example, the selection of noun phrase may include identifying the noun phrase identified in parsing tree in the frame 916 of process 900, identification One in the previously non-selected noun phrase of previously non-selected noun phrase and selection.In some embodiments, it is elected to When selecting noun phrase, indicate that the value of selection is associated with the noun phrase.

After having selected noun phrase, process 980 proceeds to frame 984, at the frame by one in noun phrase or Several words are identified as extracting.In some embodiments, extraction is content-aggregated not to be supplied to user but formation initially To the part of content-aggregated presentation part correctly responded.In some embodiments, extracting part can be for example, by from institute Random selection is in one or several words of the noun phrase of selection to select.In some embodiments, it can be used random Number generator carries out this random selection.In some embodiments, extracting part can be from one in selected noun phrase Or it is selected in the words or phrase of several classifications.In some embodiments, for example, extraction part can be from one or several It is selected in noun, verb, adjective, adverbial word, radix etc..In some embodiments, identifying can choose in selected noun phrase As the words or phrase for extracting part, and the selective extraction part from these words or phrase.In some embodiments, it mentions It takes part that can be identified by server 102, and extracts part and can store in database server 104, and specifically, It is stored in subscriber profile database 301 and/or Content Library Database 303.

After one or several words or phrase are appointed as extraction, process 980 proceeds to frame 986, at the frame It generates and part is presented.In some embodiments, it includes content-aggregated one for being initially displayed and/or being supplied to user that part, which is presented, Part.In some embodiments, part is presented can be associated to the prompt of response of part is presented with prompt user offer.? It include that extraction unit point either extracts part to the expectation that part is presented and/or correct response in some embodiments.

In some embodiments, the generation that part is presented may include all words identified in noun phrase, from noun It is removed in all words in phrase and extracts part, and insertion placeholder at the position of part is extracted in removal in noun phrase Mark such as underscore.In some embodiments, part, which is presented, can be automatically generated after specified extraction unit point by server.

After generating presentation part, process 980 proceeds to frame 988, generates at the frame related to selected noun phrase One or several content tabs of connection.In some embodiments, these one or several content tabs can be by selected name Word hyperlink phrase is to therefrom obtaining the data grouping of the noun phrase, and/or is linked to and therefrom to obtain selected noun short One or several associated topics of the data grouping of language or technical ability.In such embodiments, the generation of content tab can To include the topic or technical ability identified in associated data packet and/or associated data packet, and by associated data packet and/or The instruction of topic or technical ability in associated data packet is associated with selected noun phrase.

In some embodiments, it can be analyzed based on the computer to selected noun phrase and generate one or several contents Label.In some embodiments, this may include all or part of semantic analysis to selected noun phrase.In such reality It applies in example, server 102 can analyze one or several in selected noun phrase and/or selected noun phrase Words, and searched for and one or several words in selected noun phrase and/or selected noun phrase in outline or schedule The associated task of word, topic, technical ability and/or grade of skill.When the task that identifies, topic, technical ability and/or grade of skill, The label including identifying the data of those tasks, topic, technical ability and/or grade of skill can be created, and by itself and selected name Word phrase and/or associated with one of presentation part for extracting part and generation of generation or both.

After generating content tab, process 980 proceeds to frame 990, and the part generated is combined at the frame.In some realities It applies in example, this may include that will extract part, presentation part and/or content tab link and/or be combined into single content-aggregated. In some embodiments, this it is content-aggregated can further combined with selected noun phrase and/or the pointer of selected noun phrase, and In another embodiment, in conjunction with the part with formed independently of be located away from selected by noun phrase it is content-aggregated.

After combining these parts, process 980 proceeds to frame 992, and storage content polymerize at the frame.In some realities It applies in example, it is content-aggregated to can store in database server 104, and specifically for example it is stored in such as user configuration text In part database 301 and/or Content Library Database 303.In some embodiments, content-aggregated to can store in database service In multiple databases in device, such as specific user's accessible database of content-aggregated user founder and it is used for The general accessible database for creating content-aggregated user is not created or is not involved in.In some embodiments, user can be with base There is different access authority in content-aggregated position and/or whether user can be content-aggregated based on them Founder and have different access authority.For example, in some embodiments, content-aggregated user founder can have volume Content-aggregated access authority is collected and/or modifies, and content-aggregated non-founder user can be only with poly- to the identical content That closes checks permission.

After storage content polymerization, process 980 proceeds to frame 994, and being determined in the subset of rationality phrase at the frame is It is no that there are additive phrases.In some embodiments, this can include determining that and whether there is and selection in the subset of rationality phrase Indicate unrelated phrase.If there is any additive phrase, then process 980 returns to frame 982, and continue as described above into Row.If process 980 proceeds to frame 996 and advances to the frame 922 of Figure 13 without additive phrase.

Referring now to Figure 17, it shows a flow chart, which, which illustrates, assesses content-aggregated process for generating 1000 one embodiment.Process 1000 can include by whole components of content distributing network 100 for example, by one or Several servers 102 execute.In some embodiments, if these one or several servers 102 may include one or Dry remote resource, can such as occur via cloud computing or distributed treatment.Process 1000 starts at frame 1002, in the frame Place's retrieval is content-aggregated.In some embodiments, content-aggregated to can be according to the content-aggregated of the process of Figure 13 generation.It can be with Content is retrieved from subscriber profile database 301 and/or Content Library Database 303 from database server, and specifically Polymerization.

Retrieve it is content-aggregated after, process 1000 proceeds to frame 1004, for example generated by server 102 at this in Hold polymerization score.In some embodiments, can based on one or several content-aggregated attributes it is for example content-aggregated in Words quantity, include one or several proprietary names in content-aggregated, in content-aggregated include one or several numbers Word etc. generates source.In some embodiments, this may include for example identifying content-aggregated feature, such as content-aggregated extraction Proprietary name and/or number in part, and determine that those know such as content-aggregated extraction part of the attribute of another characteristic In proprietary name and/or number quantity.In some embodiments, for extracting each proprietary name in part, title Counter can be incremented by once；For extracting each number in part, digit counter can be incremented by once.In some implementations In example, the attribute for knowing another characteristic, which such as extracts the proprietary name in part and/or the quantity of number, can be input to scoring calculation In method, which can be generated content-aggregated score.For example, in some embodiments, when one or several proprietary names Title is to extract partially and/or when extraction unit point includes one or several numbers, content-aggregated such as digital flash memory card It can have increased score.

After generating content-aggregated score, process 1000 advances to frame 1006, and score threshold is retrieved at the frame.One In a little embodiments, score threshold can be with being satisfied with the content-aggregated of score between content-aggregated with dissatisfied score Described.In some embodiments, score threshold may include single value, and in some embodiments, score threshold can To include multiple values.Score threshold can be retrieved from database server 104.After retrieving score threshold, before process 1000 Frame 1008 is entered, is compared the score generated in frame 1004 with the score threshold retrieved in frame 1008 at the frame. In some embodiments, this can include determining that whether the score generated in frame 1004 is greater than, is less than or equal to score threshold.

After by score threshold compared with the score of generation, process 1000 proceeds to decision-making state 1010, true at this It is fixed whether to keep content-aggregated.In some embodiments, this can include determining that score threshold is compared with the score of generation No instruction content threshold value is associated with acceptable score.If it is determined that not keeping content-aggregated, then process 1000 proceeds to frame 1012, it is abandoned at the frame content-aggregated.In some embodiments, content-aggregated can lead to from database server 104 is abandoned Delete it is content-aggregated and/or with content-aggregated associated any data or file.

Again return to decision-making state 1010, if it is determined that keep content-aggregated, then process 1000, which proceeds to, wherein retrieves The frame 1014 of assessment models.In some embodiments, it is poly- can be configured as assessing one or several contents for assessment models The statistical model of conjunction.In some embodiments, statistical model can be based on including one or several content characteristics and/or content The input of parameter operates.As used herein, content characteristic is all the characteristics of can observing directly from content-aggregated content Such as present or absent counting or instruction of one or several words, words type, phrase.As used herein, content Parameter is one or several values calculated based on one or several content characteristics.Content parameters may include such as ratio, put down Mean value etc..In some embodiments, can based on it is passing or previously collect about content-aggregated data and use those The performance of content-aggregated user carrys out Training valuation model.It can be from database server 104, and specifically from model data Repository 309 retrieves assessment models.

After it retrieved assessment models, process 1000 proceeds to frame 1016, content-aggregated resolved at the frame.One In a little embodiments, one or several natural language processing (NLP) technologies can be used and/or operate in such as server 102 On one or several natural language processing software programs it is content-aggregated to parse this.In some embodiments, content selection It can be resolvable to words, phrase, part of speech etc..After content-aggregated be resolved, process 1000 proceeds to frame 1018, at this Content-aggregated middle one or several content characteristics of extraction at frame analytically.In some embodiments, these content characteristics can With include the counting of words number in content-aggregated, it is the content-aggregated counting that the words number in part is presented, content-aggregated It extracts the counting of the words number in part and extracts part and/or the counting of the number of characters in part is presented, extracts part And/or present letter in part, number and/or number quantity counting, extract part of speech, the extraction unit of words in part Divide and/or present the uppercase quantity etc. in part.It in some embodiments, can be by being based on such as server 102 One or several counters are incremented by the result of content-aggregated parsing, content-aggregated middle extraction content characteristic analytically.

After being extracted content characteristic, process 1000 proceeds to frame 1020, generates in one or several at the frame Hold parameter.In some embodiments, these content parameters can be generated from content characteristic.These content parameters may include for example mentioning The words quantity in part and the content-aggregated ratio that the words quantity in part is presented are taken, character, the number in part are extracted The ratio of the quantity of word and/or letter and the quantity of the character, number and/or the letter that present in part, blank words are averaged The construction such as words embedded technology such as Word2vec or other similar model can be used in vector space expression.In some implementations In example, content parameters can be generated by server 102.

After generating content parameters, process 1000 proceeds to frame 1022, by part or all of content characteristic at the frame And/or content parameters are input in assessment models.After content characteristic and/or content parameters are input into evaluation model, mistake Journey 1000 proceeds to frame 1024, and output of the assessment result as assessment models is generated at the frame.In some embodiments, it exports As a result it can be generated by server 102.

After generating assessment result, process 1000 proceeds to frame 1026, by assessment result and assessment threshold value at the frame It is compared.In some embodiments, assessment threshold value may include poly- in acceptable and unacceptable content based on assessment result One or several values described between conjunction.Assessment threshold value can store in database server 104, particularly, be stored in In threshold data library 310.In some embodiments, assessment result can also include based on comparative result compared with assessing threshold value To content-aggregated distribution Boolean.For example, in some embodiments, there is the acceptable assessment compared with threshold value when content-aggregated When as a result, it is content-aggregated that the first Boolean can be assigned to this；And when content-aggregated with unacceptable compared with threshold value When assessment result, it is content-aggregated that the second Boolean can be assigned to this.In some embodiments, these Booleans can be with them It is content-aggregated associated, and can store in database server 104, and be specifically stored in user profile In database 301 and/or Content Library Database 303.

Assessment result and assessment threshold value comparison after, process 1000 may be advanced to frame 1028, at the frame based on than Compared with result and/or based on content-aggregated associated Boolean storage or abandon content-aggregated.In some embodiments, it deposits Storage or discarding can be executed by server 102.It is content-aggregated to can store in database in the case where storing content-aggregated In server 104, and specifically it is stored in such as subscriber profile database 301 and/or Content Library Database 303. Abandon it is content-aggregated in the case where, abandon it is content-aggregated can lead to from database server 104 delete it is content-aggregated and/or with Content-aggregated associated any data or file.

In some embodiments, it and as the comparison storage based on assessment result and assessment threshold value or abandons content-aggregated A part, server 102 can be generated one or several electric signals and can via such as communication network 120 and communication Subsystem 532 sends it to user equipment 106 and/or superintendent's equipment 110.In some embodiments, these electric signals can It is sent by alarm as described above all in the form of communication.

Referring now to Figure 18, it shows a flow chart, which illustrates content-aggregated for assessing one group automatically One embodiment of process 1100.Process 1100 can include for example, by one by whole components of content distributing network 100 A or several servers 102 execute.In some embodiments, these one or several servers 102 may include one Or several remote resources, it can such as occur via cloud computing or distributed treatment.Process 1100 starts at frame 1102, Reception or/retrieval user identifier or subscriber identity data at the frame.In some embodiments, user identifier can also include To one group of content-aggregated request assessed and specified content-aggregated one or several content-aggregated including the group Identifier.In some embodiments, user identifier can be received from user equipment 106 and/or from superintendent's equipment 110.For example, In some embodiments, user identifier can be supplied to user equipment 106 and/or supervision via input/output subsystem 526 People's equipment 110, and server 102 can be transmitted to via communication subsystem 532 and communication network 120.In some embodiments In, user identifier may include User ID, password, user name etc..

After receiving subscriber identity data, process 1100 advances to frame 1104, the identity user at the frame.Some In embodiment, this may include to the subscriber identity data being stored in subscriber profile database 301 and in frame 1102 Received user identifier or subscriber identity data are compared.After identity user, process 1100 advances to frame 1106, object network data are received and/or retrieved at the frame.In some embodiments, the step of frame 1106 may include One or several data groupings, task, technical ability or grade of skill etc. are received in main body, outline, schedule in object network etc. Data.It in some embodiments, can be from database server 104, and specifically, from the database of storage object network Such as Content Library Database 303 of one of the database of server 104 receives and/or retrieval object network data.In some realities It applies in example, object network data can characterize are as follows: the data grouping in object network；It is related to the data grouping in object network Task, technical ability and/or the grade of skill of connection；Deng.

After having retrieved object network data, process 1100 advances to frame 1108, and it is poly- that user is retrieved at the frame Close data.In some embodiments, user's aggregated data may include the content in the specific content polymerized data base with user It polymerize relevant data.It in some embodiments, can be from database server 104, and specifically from Content Library Database 303 and/or subscriber profile database 301 retrieve aggregated data.

After retrieving user's aggregated data, process 1100 proceeds to frame 1114, by object network data at the frame It is compared with user's aggregated data.In some embodiments, this, which relatively can include determining that, identifies in object network data Whether all data groupings, task, technical ability, grade of skill etc. are content-aggregated associated with what is identified in user's aggregated data.? In some embodiments, the first Boolean can with identified in same user's aggregated data one or several are content-aggregated associated Each data grouping, task, technical ability, grade of skill etc. it is associated, and the second Boolean can be with same user's aggregated data One or several content-aggregated associated each data grouping, task, technical ability, grade of skill of middle identification etc. are associated.

After object network data and user's aggregated data are compared, process 1100 proceeds to frame 1116, in the frame Place identification polymerization gap.In some embodiments, the identification for polymerizeing gap may include that identification is known in user's aggregated data It is other content-aggregated unrelated or sufficient amount of content-aggregated unrelated to being identified in user's aggregated data One or several data groupings, task, technical ability, grade of skill etc..In some embodiments, identification and the first cloth can be passed through One or several associated data groupings of value of, task, technical ability, grade of skill etc. carry out the determination.

After identifying polymerization gap, process 1100 proceeds to frame 1118, and gap alarm is generated at the frame and is sent Gap alarm.In some embodiments, this may include one or several carried out in the form of one or several electric signals Communication, these electric signals identify the existence or non-existence in one or several polymerization gaps.In some embodiments, these are communicated Can be generated by server 102, and can be sent to as discussed above for alarm user equipment 106 and/or Superintendent's equipment 110.

After generating and sending gap alarm, process 1100 proceeds to frame 1120, identifies at the frame one or several A potential polymerization gap resolution ratio.In some embodiments, this may include for example searching for the database unrelated with specific user, It is content-aggregated to find one or several, the content-aggregated polymerization gap that can eliminate identification and/or identification one or Several data groupings, to combine the prompt for generating additional content polymerization to be supplied to user.In some embodiments, server 102 to can be configured to automaticly inspect one or several other content polymerized data bases content-aggregated to obtain, so that parsing is appointed The polymerization gap of what identification.

After having identified potential polymerization gap resolution ratio, process 1100 proceeds to frame 1122, solves at the frame Analyse one or several polymerization gaps.In some embodiments, this may include by any identification it is content-aggregated include to In the associated content-aggregated database of specific user, and/or update associated with specific user content-aggregated Database is to include any newly-generated content-aggregated.After having parsed polymerization gap, process 1100 proceeds to frame 1124, Resolution ratio report is generated and sent at the frame.In some embodiments, resolution ratio report may include the communication with electric signal, The electric signal instruction has parsed some or all of the potential polymerization gap of identification, and/or identifies those identifications Potential polymerization gap specified resolution.In some embodiments, which may include as above for other alarm institutes The generation of discussion and the alarm of transmission.

The a variety of variations and modification of the embodiment of the present disclosure can also be used.It gives in the above description specific Details understands these embodiments so as to deep.It is understood, however, that these embodiments can also not have these details In the case where practice.For example, well known circuit, process, algorithm, structure and technology are being shown to avoid allowing embodiment indigestion Unnecessary details may be eliminated when out.

The implementation of multiple technologies, frame, step and means described above can be completed by different modes.For example, these Technology, frame, step and means can be implemented in the combination of hardware, software or both.Hardware is implemented, these processing units can One or more specific integrated circuits (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), can Programmed logic equipment (PLD), field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other It is designed to execute in the electronic unit of above-mentioned function and/or their combination and implement.

And, it is noted that these embodiments can be described as method, and the method is depicted as flow chart, process Schematic diagram, swim-lane diagram, data flowchart, structure chart or block diagram.Although describing content can describe the operations as being permitted for sequential process Multioperation can be parallel or be performed simultaneously.In addition to this, the sequence of these operations can rearrange.When the operation of a method is completed When, this method terminates, but can have the additional step being not included in figure.Method can correspond to method, function, program, son Routine, subprogram etc..When method corresponds to function, terminating to correspond to makes function be back to calling function or principal function.

In addition, these embodiments can be by hardware, software, scripting language, firmware, middleware, microcode, hardware description language And/or their any combination is implemented.When realizing in software, firmware, middleware, scripting language and/or microcode, execution must The program code or code segment for wanting task can be stored in machine readable media such as storage medium.Code segment or the executable finger of machine Order can indicate process, function, subprogram, program, routine, subroutine, module, software package, script, class or instruction, data structure And/or any combination of program statement.Code segment can be by transmitting and/or receiving information, data, argument, parameter and/or storage Content and be connected to another code segment or hardware circuit.Information, argument, parameter, data etc. can via include Memory Sharing, disappear Any suitable means including breath transmitting, token passing, network transmission etc. are transmitted, are forwarded or transmit.

For firmware and/or software implementation, method can utilize module (e.g., the program, function for executing function described herein Deng) implement.Any machine readable media with tangible form embodiment instruction can be used to implement method described herein.Example Such as, software code can be stored in memory.Memory can be in processor or portion implements outside the processor.As used herein, Term " memory " refers to any kind of long-term, short-term, volatibility, non-volatile or other storage mediums, and is not limited to appoint What certain types of memory or any certain amount of memory, or any certain types of Jie of storing memory content thereon Matter.

In addition, as disclosed herein, term " storage medium " can indicate one or more memories for storing data, Including read-only memory (ROM), random access memory (RAM), magnetic ram, core memory, magnetic disk storage medium, optics Storage medium, flash memory device and/or for storing up stored other machines readable medium.Term " machine readable media " include but Be not limited to, portable or fixed storage equipment, optical storage apparatus and/or it is various other can store and include or carry refer to The storage medium of order and/or data.

Although in conjunction with specific device and method described above is the principles of the disclosure, it should be apparent that ground understands, these Description is only made by way of example, and not as the limitation to the scope of the present disclosure.

Claims

1. a kind of system for content-aggregated creation, the system comprises:

Memory, comprising:

Content data base, the content data base include content relevant to common theme；

Polymerized data base, wherein the polymerized data base be configured as storing one or several it is content-aggregated；

User equipment, comprising:

First network interface, the first network interface are configured as exchanging data via communication network；With

First input/output subsystem, first input/output subsystem are configured as turning electric signal via user interface It is changed to the scrutable output of user；And

Server, wherein the server is configured as:

Content is provided to the user equipment by the first electric signal transmitted via the communication network；

The one of the content of the offer is provided by the second electric signal for transmitting via the communication network from the user equipment Partial selection；

Sentence is automatically extracted from the selected part of the content of the offer via natural language processor；

Parsing tree is automatically generated for a sentence in the sentence automatically extracted,

Wherein multiple branches of the parsing tree are associated with part of speech label；

From the part of speech tag recognition noun phrase in the parsing tree；

In content-aggregated middle placement content associated with a noun phrase in the noun phrase；And

Content-aggregated the user equipment is output to for described.

2. system according to claim 1, wherein the server is further configured to identify the noun phrase Subset, wherein the subset of the noun phrase includes rationality phrase.

3. system according to claim 2, wherein based at least one of following identification rationality phrase: size； Or the presence of triggering attribute.

4. system according to claim 3, wherein including: based on rationality phrase described in size identification

Automatically determine the words quantity in the noun phrase；

Retrieve size threshold value；

The words quantity in the noun phrase is compared with the size threshold value；

And

It is when the words quantity is less than the size threshold value, the first Boolean is associated with the noun phrase；And work as It is when the words quantity is greater than the noun threshold value, the second Boolean is associated with the noun phrase.

5. system according to claim 3, wherein the triggering attribute may include number.

6. system according to claim 3, wherein the processor is further configured in the polymerized data base It stores described content-aggregated.

7. system according to claim 6, wherein content is placed on for each of rationality phrase rationality Phrase it is content-aggregated in.

8. system according to claim 1, wherein from the part of speech tag recognition noun phrase packet in the parsing tree It includes:

(a) root of the parsing tree is identified；

(b) branch in the multiple branch for proceeding to the parsing tree from described；

(c) the part of speech label associated with a branch in the multiple branch of the parsing tree is retrieved, and

(d) the part of speech label associated with a branch in the multiple branch of the parsing tree is identified.

9. system according to claim 8, wherein also from the part of speech tag recognition noun phrase in the parsing tree Step (a) to (d) is repeated including the branch of each of the multiple branch for the parsing tree.

10. system according to claim 1, wherein in will be associated with a noun phrase in the noun phrase Receiving is set in content-aggregated

At least one words of the noun phrase is appointed as extracting；

The presentation part of the noun phrase is generated by removing the extraction from the noun phrase；

The presentation part of the noun phrase is stored in the polymerized data base；And

The extraction is stored in the polymerized data base, wherein the extraction is associated with the presentation part.

11. system according to claim 10, wherein specifying at least one described words via random number generator For the extraction.

12. system according to claim 10, wherein at least one noun phrase described in the noun phrase is specified Include: to extract

Identify the part of speech of each words of words described in the noun phrase；

Extracting parameter is retrieved, wherein at least one part of speech for being used to potentially identify is identified as the extraction by the extracting parameter；

According to the extracting parameter, the words for being used to potentially identify in the noun phrase is identified as the extraction；With And

It, will be described in the words for being used to potentially identify that identified in the noun phrase according to the extracting parameter Extraction is appointed as the extraction.

13. system according to claim 1, wherein the processor be further configured to characterize it is described content-aggregated Label it is associated with described content-aggregated a part.

14. a kind of create content-aggregated method, comprising:

Content is provided to user equipment by the first electric signal transmitted via communication network；

Sentence is automatically extracted from the selected part of the content of the offer via natural language processing；

Parsing tree is automatically generated for a sentence in the sentence automatically extracted, wherein multiple branches of the parsing tree Each branch it is associated with part of speech label；

From the part of speech tag recognition noun phrase in the parsing tree；

Content-aggregated the user equipment is output to for described by the third electric signal that transmits via the communication network.

15. according to the method for claim 14, wherein the content is supplied to the user equipment, institute from content data base Stating content data base includes content relevant to common theme.

16. according to the method for claim 14, wherein the user equipment includes: first network interface, first net Network interface is configured as exchanging data via communication network；And first input/output subsystem, first input/output Subsystem is configured as converting electrical signals to the scrutable output of user via user interface.

17. further including according to the method for claim 14, the subset for identifying the noun phrase, wherein the noun phrase The subset include rationality phrase.

18. according to the method for claim 17, wherein including: based on rationality phrase described in size identification

Automatically determine the words quantity in the noun phrase；

Retrieve size threshold value；

And

19. according to the method for claim 18, wherein from the part of speech tag recognition noun phrase in the parsing tree Include:

(a) described of the parsing tree is identified；

Identify the part of speech label associated with a branch in the multiple branch of the parsing tree.

20. according to the method for claim 19, wherein by associated with a noun phrase in the noun phrase Content is placed in content-aggregated

At least one words of the noun phrase is appointed as extracting；

21. a kind of system for content-aggregated assessment, the system comprises:

Memory, comprising:

Content Library Database, wherein the Content Library Database be configured as storing one or several it is content-aggregated；

User equipment, comprising:

One or more servers, wherein one or more of servers are configured as:

It is content-aggregated from Content Library Database retrieval, wherein described content-aggregated including part and extraction part is presented；

It is content-aggregated that component selections keep institute based on being generated according to the attribute of one or several content-aggregated identifications It states content-aggregated；

From the content-aggregated extraction content characteristic, wherein the content characteristic includes at least one of at least one words type It counts；

From model database retrieval statistics model；

Assessment result is generated by the way that the content characteristic is inputted the statistical model, wherein the assessment result is the statistics The output of model.

22. system according to claim 21, wherein one or more of servers are further configured to generate institute State content-aggregated score.

23. system according to claim 22, wherein generating the content-aggregated score includes identify the retrieval interior Hold the feature of polymerization and determines the attribute for knowing another characteristic.

24. system according to claim 23, wherein selecting to keep described content-aggregated including retrieving score threshold simultaneously The content-aggregated score is compared with the score threshold.

25. system according to claim 24, wherein one or more of servers are further configured to parsing institute State the content-aggregated of retrieval.

26. system according to claim 25, wherein the retrieval it is content-aggregated according to natural language processing technique into Row parsing.

27. system according to claim 25, wherein one or more of servers are further configured to based on institute The content characteristic for stating extraction generates one or several content parameters.

28. system according to claim 27, wherein one or several content parameters include in following at least One: ratio；Or average value.

29. system according to claim 28, wherein the average value includes being averaged for described content-aggregated a part Vector space indicates.

30. system according to claim 29 is commented wherein one or more of servers are further configured to retrieval Estimate threshold value, wherein the assessment threshold value include based on the assessment result it is acceptable and unacceptable it is content-aggregated between describe Value.

31. system according to claim 30, wherein be further configured to will be described for one or more of servers Assessment result is compared with the assessment threshold value, and when the assessment result with it is described assessment threshold value it is described compared with instruction It is described content-aggregated when being acceptable, store the content-aggregated of the retrieval.

32. a kind of for assessing content-aggregated method, comprising:

In described in content-aggregated the component selections generated based on the attributes identified according to content-aggregated one or several Hold polymerization；

From model database retrieval statistics model；

33. according to the method for claim 32, further including generating the content-aggregated score.

34. according to the method for claim 33, wherein generating the content-aggregated score includes identify the retrieval interior Hold the feature of polymerization and determines the attribute for knowing another characteristic.

35. according to the method for claim 34, wherein selecting to keep described content-aggregated including retrieving score threshold simultaneously The content-aggregated score is compared with the score threshold.

36. further including according to the method for claim 35, parse the retrieval content-aggregated.

37. further including according to the method for claim 36, that the content characteristic based on the extraction generates one or several Content parameters, wherein one or several content parameters include at least one of following: ratio；Or average value.

38. according to the method for claim 37, wherein the average value includes being averaged for described content-aggregated a part Vector space indicates.

39. according to the method for claim 38, further including retrieval assessment threshold value, the assessment threshold value includes being based on institute's commentary Estimate result it is acceptable and unacceptable it is content-aggregated between the value that describes.

40. according to the method for claim 39, further include the assessment result is compared with the assessment threshold value, and And when the assessment result with the assessment threshold value it is described compared with instruction it is described it is content-aggregated be acceptable when, described in storage That retrieves is content-aggregated.

41. a kind of system for content-aggregated network evaluation, comprising:

Memory, comprising:

Content Library Database, wherein the Content Library Database be configured as storing it is multiple content-aggregated；

User equipment, comprising:

One or more servers, wherein one or more of servers are configured as:

User identifier is received from the user equipment；

Identification user associated with the received user identifier；

Assessment request is received, wherein one group of definition of assessment request content-aggregated；

Retrieve described one group it is content-aggregated；

Retrieval with one group of content-aggregated associated object network data of the definition,

Wherein the object network data identify multiple topics；

One group of the retrieval content-aggregated is compared with the object network data of the retrieval；

Identification polymerization gap, wherein identifying that the polymerization gap includes in the object network data for identify the retrieval described one There is no corresponding content-aggregated topic during group is content-aggregated；And

Generate and send an alert to the user equipment for identifying the polymerization gap.

42. system according to claim 41, wherein it includes being stored in the content library data that described one group content-aggregated In library it is the multiple it is content-aggregated in it is some content-aggregated.

43. system according to claim 42, wherein described one group content-aggregated is linked by predicable.

44. system according to claim 43, wherein the predicable includes at least one of following: by user into Capable creation；Or the selection carried out by the user.

45. system according to claim 44, wherein the user has content-aggregated the created to the user One access level and the second content-aggregated access level that the user is selected.

46. system according to claim 41, wherein one or more of servers are further configured to parsing institute State the polymerization gap of identification.

47. system according to claim 46, wherein the polymerization gap for parsing the identification includes identifying that at least one is latent Gap resolution ratio.

48. system according to claim 47, wherein identifying that at least one potential gap resolution ratio includes described in search Content Library Database is to find at least one content-aggregated polymerization gap to parse the identification.

49. system according to claim 47, wherein identifying that at least one potential gap resolution ratio includes that identification is used for At least one data grouping provided to the user polymerize in conjunction with prompting the user to generate additional content.

50. system according to claim 47, wherein the alarm includes for instructing described in the user equipment offer The code of the instruction of received alarm.

51. system according to claim 50, wherein the instruction of the alarm includes at least one of following: listening Feel instruction；Tactile instruction；Or it visually indicates.

52. a kind of for assessing content-aggregated method, comprising:

User identifier is received from user equipment at one or more servers；

Utilize one or more of servers identification user associated with the received user identifier；

Retrieve described one group it is content-aggregated；

Retrieval with one group of content-aggregated relevant object network data of the definition, wherein the object network data identify it is more A topic；

Identification polymerization gap, wherein identification polymerization gap include in the object network data for identify the retrieval in described one group Holding in polymerization does not have corresponding content-aggregated topic；And

53. method according to claim 52, wherein it includes being stored in Content Library Database that described one group content-aggregated It is multiple it is content-aggregated in it is some content-aggregated.

54. method according to claim 53, wherein described one group it is content-aggregated linked by predicable, wherein described total It include at least one of following with attribute: creation by the user；Or the selection carried out by the user.

55. method according to claim 54, wherein the user has content-aggregated the created to the user One access level and the second content-aggregated access level that the user is selected.

56. method according to claim 52 further includes the polymerization gap for parsing the identification, wherein parsing the identification Polymerization gap include identify at least one potential gap resolution ratio.

57. method according to claim 56, wherein identifying that at least one potential gap resolution ratio includes search content Library database is to find at least one content-aggregated polymerization gap to parse the identification.

58. method according to claim 56, wherein identifying that at least one potential gap resolution ratio includes that identification is used for At least one data grouping provided to the user polymerize in conjunction with prompting the user to generate additional content.

59. method according to claim 58, wherein the alarm includes for instructing described in the user equipment offer The code of the instruction of received alarm.

60. method according to claim 59, wherein the instruction of the alarm includes at least one of following: listening Feel instruction；Tactile instruction；Or it visually indicates.

61. a kind of system for content-aggregated network evaluation, comprising:

Memory, comprising:

User equipment, comprising:

One or more servers, wherein one or more of servers are configured as:

Identify user；

From Content Library Database retrieval tasks data, wherein the task data identifies one or several tasks, and wherein The task data identification is for completing one or several one or several tasks grade of skill；

It retrieves user and grasps grade, wherein the user, which grasps grade, identifies one or several the users ' skills grades；

The decay profiles of the user are determined, wherein the decay profiles include the degeneration of the users ' skills grade Model；

The determining grasp grade modified that decays of decay profiles of grade and the determination is grasped based on the user of the retrieval；

Grasp grade identification based on the decaying modification is multiple content-aggregated for delivering to the user；And

It is the multiple content-aggregated to user offer via the user equipment.

62. system according to claim 61, wherein the server is further configured to connect from the user equipment Receive user identifier.

63. system according to claim 62, wherein one or more of servers are further configured to determine certainly Elapsed time measures since grasping grade from the determination user.

64. system according to claim 63, wherein the elapsed time amount is based on one or several timestamps.

65. system according to claim 64, wherein the model of the degeneration of the users ' skills grade includes Statistical model.

66. system according to claim 65 is appointed wherein one or more of servers are further configured to identification Business, wherein the task includes at least one target.

67. system according to claim 66, wherein one or more of servers are further configured to prediction institute State the time quantum that user reaches at least one target.

68. system according to claim 67, wherein the user reaches the prediction of at least one target Grasp grade of the time quantum based on the decaying modification.

69. system according to claim 68, wherein the model of the degeneration of the users ' skills grade includes The rate of decay of the users ' skills grade.

70. system according to claim 69, wherein it is the multiple it is content-aggregated via the user equipment as one Or several alarms are supplied to the user.

71. system according to claim 70, wherein one or several alarms include for instructing the user Equipment provides the code of the instruction of received alarm.

72. system according to claim 71, wherein the instruction of the received alarm include in following at least One: audible indication；Tactile instruction；Or it visually indicates.

73. a kind of Content supply method based on decaying, comprising:

Identify user；

It is the multiple content-aggregated to user offer via user equipment.

74. the method according to claim 73 further includes determining to have been passed through since determining that the user grasps grade Time quantum.

75. method according to claim 74, wherein the elapsed time amount is based on one or several timestamps.

76. the method according to claim 75, further includes: identification mission, wherein the task includes at least one target； And the prediction user reaches the time quantum of at least one target.

77. the method according to claim 76, wherein the user reaches the prediction of at least one target Grasp grade of the time quantum based on the decaying modification.

78. the method according to claim 77, wherein the model of the degeneration of the users ' skills grade includes The rate of decay of the users ' skills grade.

79. the method according to claim 78, wherein it is the multiple it is content-aggregated via the user equipment as one Or several alarms are supplied to the user.

80. the method according to claim 79, wherein one or several alarms include for instructing the user Equipment provides the code of the instruction of received alarm, and wherein the instruction of the received alarm include in following extremely Few one: audible indication；Tactile instruction；Or it visually indicates.