CN104424304A - Personalized recommendation and guide system based on context awareness information and control method - Google Patents
Personalized recommendation and guide system based on context awareness information and control method Download PDFInfo
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- CN104424304A CN104424304A CN201310397949.5A CN201310397949A CN104424304A CN 104424304 A CN104424304 A CN 104424304A CN 201310397949 A CN201310397949 A CN 201310397949A CN 104424304 A CN104424304 A CN 104424304A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
The invention relates to a personalized recommendation and guide system based on context awareness information and a control method. The system is characterized by comprising a system structure composed of three types of software entities, namely a mobile client, an intermediate proxy node and a center data server. The mobile client is a mobile device carried by a tourist and is connected to the intermediate proxy node by the Bluetooth function; the intermediate proxy node is connected to the center data server through the Bluetooth, Ethernet, IEEE8.2.11b or other adaptive network communication technologies; the center data server is used for storing relavant information of all managed objects, including guide information of the objects, historical guide information of the tourist, and updating the personalized guide information of the tourist periodically. The system is capable of providing personalized guide information to the tourist, and large amount of labor cost can be saved for public facilities.
Description
Technical field
The present invention relates to a kind of personalized recommendation and guide system and control method, specifically, relate to a kind of personalized recommendation based on context aware information and guide system and control method.
Background technology
In recent years, along with improving constantly of living standard and being gradually improved of city common implementing, increasing people chooses the common implementings such as exhibition center, museum and library and understands new things and studying new knowledge knowledge, to enrich the free life of oneself.When visiting article to exhibition center or museum at present, the information understanding relative article mainly contains two kinds of methods: one is the artificial explanation arranging guide to visitors personnel visitor to be carried out to one-to-many; Two is that visitor gets and reads the pamphlet comprising all Item Information.These two kinds of methods all come with some shortcomings, and interpretation staff itself there is individual quality and language limits thus can not meet the demand of visitor, and a large amount of narrators also greatly can increase the cost of common implementing.
Along with the development of the infotecies such as smart machine (as smart mobile phone, panel computer and personal digital assistant etc.) and wireless communication, market also there are some intelligent guide systems based on infotech.Check museum's Item Information as visitor can log in museum website by personal computer, but could must use when there being computer networking; Also have some to utilize the playback equipment of fixed position constantly to introduce Item Information with sound and image cycle, but need visitor to watch in fixed position, and play content dullness easily makes visitor feel tired.Also have some guide systems based on mobile device, when visitor goes sight-seeing article, the terminal device automatic sensing that article will be carried by visitor, thus provide the guide to visitors information relevant with article to visitor.This kind of guide system makes visitor freely can go sight-seeing article, achieves comparatively positive guide to visitors effect.But also there is many shortcomings in this kind of guide system: 1) a lot of guide system only provides the relative article such as text, audio frequency information, can not meet the demand of visitor to article content of multimedia; 2) this kind of guide system uses radio frequency identification (RFID) technology automatically to identify article mostly, but RFID label tag battery life is only even shorter one year, safeguards to get up extremely to bother.In addition, need all to be equipped with RFID label tag to all article, cost is higher and use is inconvenient; 3) for same article, all provide identical guide to visitors information to visitor, this ignores the individual demand of visitor completely.Because visitor is different in language, culture and schooling etc., so often there is different cognitive needs for the visitor that same article are different.
Summary of the invention
Problem to be solved by this invention is: design and develop a kind of personalized recommendation based on context aware information and guide system and control method, the article of visitor to the communal facility such as museum and exhibition center efficiently can be guided to go sight-seeing, provide personalized article guide to visitors information to visitor.
In order to solve the problem, the present invention by the following technical solutions:
1, based on personalized recommendation and the guide system of context aware information, it is characterized in that it comprises the system architecture be made up of mobile client, middle-agent's node and Central Data Server three types software entity:
1) mobile client refers to the terminal device with Bluetooth function that visitor is self-contained, when visitor saunters, mobile client will constantly search middle-agent's node by bluetooth, if find middle-agent's node, by bluetooth service discovery protocol, it will check whether this middle-agent's node can provide visitor interested Item Information;
2) middle-agent's node refers to the terminal device being placed in communal facility fixed position, each one or more object of middle-agent's node administration, and usual available personal computer or personal workstation realize; Middle-agent's node is connected with Central Data Server by any suitable network communications technologys such as bluetooth, Ethernet or IEEE8.2.11b, and is connected with mobile client by Bluetooth technology;
3) Central Data Server is used for the relevant information of all article of storage management, mainly comprise the guide to visitors information of article and the history visit information (history visit information carries out index storage by the Bluetooth address of mobile device) of visitor, Central Data Server also periodically upgrades the personalized guide to visitors information of visitor, and central database server also has two major functions simultaneously: one is the connection request processing middle-agent's node; Two is management databases, such as, increase or delete item related information etc.;
2, a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, is characterized in that: described mobile client (1) comprises initialization and connects and receives guide to visitors information two steps:
1) initial phase, visitor needs to arrange Connecting quantity on the mobile device of oneself, Connecting quantity comprises basic parameter and advanced parameters two class Connecting quantity, wherein basic parameter must be arranged, and basic parameter mainly comprises: device type (as smart mobile phone, panel computer and PDA etc.), preferred language (as Chinese, English etc.) and the information of reception detailed levels (message level divide based on, medium and senior) three classes; Advanced parameters is then the optional setting of visitor, mainly comprises the personal information (as age, post and schooling etc.) of user;
2) after setting Connecting quantity, mobile client searches suitable middle-agent's node by automatic by Bluetooth function, if only search middle-agent's node, then mobile client just connects with this middle-agent's node; If search more than one middle-agent's node, then mobile client is first set up with all middle-agent's nodes and is connected temporarily, then the item lists information that oneself manages by each middle-agent's node connected sends to mobile client, and visitor manually selects final middle-agent's node to connect according to the Item Information received;
3, a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, is characterized in that: described middle-agent's node comprises service registry and services request two functions of process mobile client that connect:
1) service registry is realized by the article configuration file of retrieval center data server, article configuration file comprises the list information of all article and specifies the article that each middle-agent's node manages, and middle-agent's node is finding out managed article according to configuration file;
2) middle-agent's node is by create and BOUND communication socket waits for connection request from mobile client, and produce the connection request that child's process processes a mobile client, first this child's process will verify the bluetooth device address of mobile client, after completing checking, middle-agent's node will receive the Connecting quantity of visitor, then according to visitor's Connecting quantity retrieval cache information, if the buffer memory of middle-agent's node has the guide to visitors information of visitor, then direct article guide to visitors information is transmitted to visitor, if buffer memory does not retrieve the guide to visitors information of visitor, then forward the bluetooth device address of Connecting quantity and mobile client to Central Data Server, in the process of the above-mentioned request mobile client connection request of process, middle-agent's node also processes the services request from other mobile clients simultaneously,
4, a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, it is characterized in that: described Central Data Server is by any suitable network communications technology and middle-agent's node communications such as Ethernet, bluetooth or wireless networks, be mainly used in storing and managing all item related information, Central Data Server has two functions:
1) communication connection request of middle-agent's node is managed, Central Data Server starts to wait for the connection request from middle-agent's node at the Service-Port of an acquiescence, when receiving middle-agent's node connection request, Central Data Server will produce child's process and this middle-agent's node connects and receives the Connecting quantity of visitor and the bluetooth device address of mobile client;
2) personalized article guide to visitors information is generated, Central Data Server (comprises the Bluetooth address of visitor's Connecting quantity and visitor's mobile device) after the information receiving middle-agent's node, predefined personalized recommendation algorithm will be used to generate visitor's guide to visitors information (information type can be text, image, audio or video etc.), and this guide to visitors information will be returned to middle-agent's node; Meanwhile, in order to raise the efficiency, Central Data Server will set up index stores for visitor's bluetooth device address and guide to visitors information, can obtain guide to visitors information fast when next time when running into identical Connecting quantity;
5, a kind of personalized recommendation based on context aware information as described in claim 1 or 3 and guide system, it is characterized in that: the input of described personalized recommendation algorithm is the Connecting quantity (comprising basic setup parameter and senior parameters) that arranges of visitor and mobile device Bluetooth address, and exporting is then the guide to visitors information returning to this visitor; The history guide to visitors information of this visitor can be obtained by the Bluetooth address of mobile device, the i.e. history preference information of visitor, and find out the user similar to this visitor according to the Connecting quantity that visitor is arranged, the personalized recommendation algorithm that the present invention proposes obtains the Candidate Recommendation information aggregate of two guide to visitors information respectively based on history preference information and similar users, then the guide to visitors information of these two Candidate Recommendation set is merged, by the guide to visitors information recommendation of optimum to visitor;
6, a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, is characterized in that: the communication that described mobile device and middle-agent's node are supported between multiple bluetooth equipment by setting up distributed diffusion net, under normal circumstances, Bluetooth protocol allows a host node and 2-8 to build a piconet (piconet) from node, but when there being intensive visitor about article, multiple piconet must be connected build a distributed diffusion net to support all bluetooth devices, bridge (bridge) communication can be passed through between two piconets, all piconets that the distributed diffusion net organization algorithm based on persistent mode that the present invention proposes is set up all have a host node, maximum 4 from node and maximum 3 bridge, organization algorithm step is as follows:
1) maximum 7 nodes create incipient piconet near each middle-agent's node searching, searched to node be in inquiry scan state, and be from node or bridge by its role of middle-agent's node designation, if be appointed as from node, then this node connects with middle-agent's node and enters connection status, can not be arrived by other node searchings again; If be appointed as bridge, because each bridge needs to be connected with the host node of another piconet, so candidate's host node must be had to match with it, this bridge is connected with corresponding candidate's host node with middle-agent's node simultaneously, enters connection status;
2) candidate's host node is searched for neighbouring node and is created new piconet, because candidate's host node with one bridge is connected, so the piconet created can only have at most 2 bridge; Meanwhile, this bridge be also one from node, therefore candidate's host node can only search at most 3 from node;
3) all candidate's host nodes perform step 2), thus more piconets can be produced;
4) piconet constructive process outwards launches from middle agent node gradually, finally generates a distributed loose look net linked together by each bridge;
7, a kind of personalized recommendation based on context aware information as described in right 1 and guide system, is characterized in that it comprises following operation steps:
(A) when visitor enters the common implementing such as museum or exhibition center, the mobile device carried by oneself receives personalized guide to visitors information, needs to arrange Connecting quantity on the mobile device of oneself;
(B) after setting Connecting quantity, mobile client searches suitable middle-agent's node by automatic by Bluetooth function, if only search middle-agent's node, then mobile client just and this middle-agent's node connect; If search more than middle-agent's node, then first all set up interim connection with all middle-agent's nodes, then the item lists that oneself manages by each middle-agent's node connected sends to mobile client, and visitor selects final middle-agent's node to connect according to the information received;
(C) middle-agent's node will produce child's process to process the connection request of mobile client, first this child's process checks visitor's guide to visitors information of oneself buffer memory according to Connecting quantity, meet the guide to visitors information of Connecting quantity, directly return the mobile device sending to visitor if having; If do not find suitable guide to visitors information at the buffer memory of middle-agent's node, then this child's process is by the bluetooth device address of checking visitor mobile device;
(D) after completing connectivity verification, middle-agent's node will receive the Connecting quantity of visitor, and the bluetooth device address forwarding Connecting quantity and mobile client is to Central Data Server;
(E) Central Data Server (comprises Connecting quantity and mobile device Bluetooth address after the tourist information receiving the transmission of middle-agent's node, use personalized recommendation algorithm is generated visitor's guide to visitors information, and this guide to visitors information is returned to middle-agent's node;
(F) after the guide to visitors information that middle-agent's node receiving center data server sends, being transmitted to the mobile device of visitor, replacing according to not using at most recently the guide to visitors information that algorithm upgrades middle-agent's nodal cache simultaneously.
The present invention compares with the guide system of the common implementings such as exhibition center for museum with current, has some obvious advantages:
(1) for visitor provides personalized guide to visitors information, can guide in the communal facility such as museum or exhibition center and help visitor.Visitor, after entering communal facility, the mobile device entrained by oneself arranges Connecting quantity, the present invention just can for for same article for different visitor provides personalized guide to visitors information;
(2) reduce guide to visitors personnel amount, reduce the handling cost of common implementing.The present invention significantly can reduce the guide to visitors personnel amount of common implementing, for the common implementings such as museum save a large amount of human cost, promotes management level and class, improves service quality;
(3) equipment that the present invention only needs visitor to carry has Bluetooth function and gets final product (equipment can be mobile phone, panel computer and personal digital assistant etc.), not by restrictions such as device type, model, network formats, can widely use; Meanwhile, bluetooth channel resource is stablized, low cost;
(4) museum and exhibition center etc. can utilize data of the present invention to carry out further statistical study and information excavating.By understanding the preference of visitor, museum and exhibition center can the welcome article of com-parison and analysis, adjust the article furnishings framework of self and provide other value-added service.
Therefore, compare with existing common implementing guide system, the present invention is the precedent that emerging general fit calculation technology is applied at the common implementing such as museum and exhibition center, has stronger practicality and creativeness.
Accompanying drawing explanation
Fig. 1 is present system composition structured flowchart.
Fig. 2 is that the present invention obtains guide to visitors information flow chart.
Fig. 3 is personalized recommendation algorithm flow chart of the present invention.
Fig. 4 is distributed diffusion net organization algorithm process flow diagram of the present invention.
Embodiment
Fig. 1 is present system composition structured flowchart.The present invention includes following three parts: mobile client, middle-agent's node and Central Data Server.
Mobile client refers to the terminal device with Bluetooth function that visitor is self-contained, such as smart mobile phone, panel computer and PDA(Personal Digital Assistant) etc.Mobile client, by bluetooth and middle-agent's node communication, when visitor saunters, constantly searches new middle-agent's node by bluetooth.When after discovery middle-agent node, connect with suitable middle-agent's node.Mobile client receives guide to visitors information and comprises initialization and two steps that connect.Before a connection is established, visitor needs to arrange Connecting quantity on the mobile device of oneself, and Connecting quantity comprises basic parameter and advanced parameters two class, and wherein basic parameter must be arranged, and advanced parameters is then optional.Basic parameter mainly comprises and device type (as smart mobile phone, panel computer and PDA etc.), preferred language (as Chinese, English etc.) and the information of reception detailed levels (message level divide based on, medium and senior) three classes; Advanced parameters mainly comprises the personal information (as age, post and schooling etc.) of user.After setting Connecting quantity, mobile client searches suitable middle-agent's node by automatic by bluetooth.If only search middle-agent's node, then mobile client just and this middle-agent's node connect; If search more than middle-agent's node, then first set up with all middle-agent's nodes and be connected temporarily, then self-administered item lists information is sent to mobile client by each middle-agent's node connected, and visitor selects final middle-agent's node to connect according to the information received.Once after connecting, the Connecting quantity arranged according to visitor is sent personalized guide to visitors information to mobile client by intermediate information agent node.
Middle-agent's node refers to the terminal device being positioned at communal facility fixed position, and usual available personal computer or workstation realize, each one or more object of middle-agent's node administration.Middle-agent's node is connected with Central Data Server by any suitable network communications technologys such as bluetooth, Ethernet or IEEE8.2.11b, is connected with mobile client by Bluetooth technology.The function of middle-agent's node comprises service registry and the services request of process mobile client that connects.Service registry is realized by the article configuration file of retrieval center data server.This article configuration file is the list comprising all article, also specifies the article that each middle-agent's node manages simultaneously.Middle-agent's node, will by bluetooth service discovery protocol registration service after finding out self-administered article.Once after completing all service registrys, middle-agent's node will create and bound socket, waits for the connection request from mobile client.When a connection request arrives, middle-agent's node will produce child's process to process the request of mobile client, and first this child's process will verify bluetooth device address.After completing checking, middle-agent's node will receive the Connecting quantity of visitor, then according to visitor's Connecting quantity retrieval buffer memory, if middle-agent's node be cached with suitable guide to visitors information, then direct article guide to visitors information is transmitted to visitor.If buffer memory does not retrieve suitable guide to visitors information, then forward the bluetooth device address of Connecting quantity and mobile client to Central Data Server.Central Data Server generates guide to visitors information according to the tourist information received, and then article guide to visitors information is returned to middle-agent's node, then is transmitted to mobile client by middle-agent's node.In the process, middle-agent's node also processes from other mobile client services request simultaneously, simultaneously according to not using algorithm to upgrade the guide to visitors information of buffer memory at most recently.
Central Data Server is used for the relevant information of all article of storage management, mainly comprises the historical information (history guide to visitors information carries out index storage by the Bluetooth address of mobile device) that the essential information of all article and visitor go sight-seeing record.Central Data Server has two functions: the communication connection request 1) managing middle-agent's node.Start at the Service-Port of an acquiescence connection request waiting for middle-agent's node when Central Data Server is initial.When receiving new connection request, Central Data Server will produce child's process and this middle-agent's node connects, and receives Connecting quantity and the bluetooth device address of mobile client.2) personalized article guide to visitors information is generated.Predefined for use personalized recommendation algorithm, after receiving tourist information, is obtained visitor's guide to visitors information (information type can be text, image, audio or video etc.), and this guide to visitors information is returned to middle-agent's node by Central Data Server.In order to raise the efficiency, Central Data Server will set up index for Connecting quantity and guide to visitors information, when next time when running into identical Connecting quantity can quick-searching to guide to visitors information.
Fig. 2 is the process flow diagram that visitor of the present invention obtains guide to visitors information.When visitor enters the common implementing such as museum or exhibition center, when wanting that the mobile device carried by oneself obtains personalized guide to visitors information, need to arrange Connecting quantity on the mobile device of oneself.After setting Connecting quantity, mobile client application searches suitable middle-agent's node by automatic by Bluetooth function.If only search middle-agent's node, then mobile client just and this middle-agent's node connect; If search more than middle-agent's node, then first all set up interim connection with all middle-agent's nodes, then self-administered item lists is sent to mobile client by middle-agent's node of each foundation, and visitor selects final middle-agent's node to connect according to the Item Information received.Middle-agent's node will produce child's process to process the connection request of mobile client.First this child's process according to the buffer memory guide to visitors information of visitor's Connecting quantity inspection oneself, meets the guide to visitors information of Connecting quantity, directly returns to the terminal device of visitor if having; If do not find suitable article guide to visitors information at the buffer memory of middle-agent's node, then this child's process will verify bluetooth device address.After completing connectivity verification, middle-agent's node will receive the Connecting quantity of visitor, and the bluetooth device address forwarding Connecting quantity and mobile client sends to Central Data Server.Use personalized recommendation algorithm, after receiving Connecting quantity, is obtained visitor's guide to visitors information by Central Data Server, and this guide to visitors information is returned to middle-agent's node.Middle-agent's node receives guide to visitors information and is transmitted to the mobile device of visitor, simultaneously according to not using replacement algorithm to upgrade middle-agent's nodal cache guide to visitors information recently at most.
Fig. 3 is personalized recommendation algorithm flow chart of the present invention.
First search according to equipment Bluetooth address the Item Information that visitor went sight-seeing, and the Item Information of also not going sight-seeing, thus obtain two class Item Information set.Then the relation between these two set is searched.Similarity relation between the Item Information of the Item Information that all visitors did not go sight-seeing and all visits, uses similarity to weigh.Similarity is defined as did not go sight-seeing Item Information vector and the Euclidean distance of going sight-seeing Item Information vector.After obtaining the relation between two set, just can calculate the recommendation of each Item Information for this visitor.For any Item Information, its recommendation is defined as the mean value of all Item Information that visitor went sight-seeing and this Item Information similarity.For all recommendation Item Information, by the descending sequence of its recommendation, before selection rank, the Item Information of 10 is as final recommendation Item Information.
Secondly, inquire about the visitor similar to this visitor according to the Connecting quantity that visitor is arranged, and calculate the similarity of similar visitor and this visitor.Similarity be defined as all Connecting quantity vectors between visitor Euclidean distance and.Then querying relational databases, obtains all Item Information that the visitor similar to this visitor went sight-seeing; Recommended Item Information set is the Item Information set of being gone sight-seeing by all users similar to this visitor, removes the Item Information that this visitor oneself went sight-seeing again simultaneously.The recommendation of each Item Information in the set of calculated recommendation Item Information.The recommendation of Item Information is defined as went sight-seeing all visitors of these article and the similarity sum of visitor to be recommended.For all recommendation Item Information, by the descending sequence of its recommendation, before selection rank, the Item Information of 10 is as final Candidate Recommendation Item Information.
Finally, merge the Candidate Recommendation set that two comprise 10 Item Information, the Item Information therefrom selecting recommendation maximum is as final recommendation results.
Fig. 4 is distributed diffusion net networking process flow diagram of the present invention.When there being intensive visitor around article, multiple piconet must be connected build a distributed diffusion net to support all bluetooth devices.Bridge (bridge) communication can be passed through between two piconets.Distributed diffusion net organization algorithm based on persistent mode proposed by the invention allows a mobile device leave or add a piconet, and does not need to make any amendment to bluetooth standard.
Each piconet that the present invention is set up has a host node, maximum 4 from node and maximum 3 bridge.When arriving identical middle-agent's node more than 7 mobile devices, following algorithm is used to create new piconet: 1) maximum 7 nodes create incipient piconet near middle-agent's node searching.Searched to node be in inquiry scan state, and be from node or bridge by its role of middle-agent's node designation.If be appointed as from node, then this node connects with start node and enters connection status, can not be arrived by other node searchings again.If be appointed as bridge, because each bridge needs to be connected with another host node, so candidate's host node must be had to match with it.This bridge, with being connected with corresponding candidate's host node with middle-agent's node simultaneously, enters connection status; 2) candidate's host node is searched for neighbouring node and is created new piconet.Because candidate's host node with one bridge is connected, so the piconet created can only have 2 bridge.Meanwhile, this bridge also calculates one from node, and therefore candidate's host node can only search at most 3 from node; 3) all candidate's host nodes perform step 2), each candidate's host node likely produces other candidate's host nodes more, thus can produce more piconets; 4) piconet constructive process outwards launches from middle agent node gradually, finally generates a distributed decentralized network linked together by each bridge.
Claims (7)
1., based on personalized recommendation and the guide system of context aware information, it is characterized in that it comprises the system architecture be made up of mobile client (1), middle-agent's node (2) and Central Data Server (3) three types software entity:
1) mobile client (1) refers to the mobile device with Bluetooth function that visitor is self-contained, when visitor saunters, mobile client (1) will constantly search middle-agent's node (2) by bluetooth, if find middle-agent's node, by bluetooth service discovery protocol, it will check whether this middle-agent's node can provide visitor's interested article guide to visitors information;
2) middle-agent's node (2) refers to the terminal device being placed in communal facility fixed position, each one or more object of middle-agent's node administration, and usual available personal computer or personal workstation realize; Middle-agent's node is connected with Central Data Server (3) by any suitable network communications technologys such as bluetooth, Ethernet or IEEE8.2.11b, and is connected with mobile client (1) by bluetooth;
3) Central Data Server (3) is for the relevant information of all article of storage management, mainly comprise the guide to visitors information of article and the history visit information (history visit information carries out index storage by the Bluetooth address of mobile device) of visitor, Central Data Server also periodically upgrades the personalized guide to visitors information of visitor, and central database server also has two major functions simultaneously: one is the connection request processing middle-agent's node (2); Two is management databases, such as, increase or delete item related information etc.
2. a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, is characterized in that: described mobile client (1) comprises initialization and connects and receives guide to visitors information two steps:
1) initial phase, visitor needs to arrange Connecting quantity on the mobile device of oneself, Connecting quantity comprises basic parameter and advanced parameters two class Connecting quantity, wherein basic parameter must be arranged, and basic parameter mainly comprises: device type (as smart mobile phone, panel computer and PDA etc.), preferred language (as Chinese, English etc.) and the information of reception detailed levels (message level divide based on, medium and senior) three classes; Advanced parameters is then the optional setting of visitor, mainly comprises the personal information (as age, post and schooling etc.) of user;
2) after setting Connecting quantity, mobile client (1) searches suitable middle-agent's node (2) by automatic by Bluetooth function, if only search middle-agent's node, then mobile client just connects with this middle-agent's node; If search more than one middle-agent's node, then mobile client is first set up with all middle-agent's nodes and is connected temporarily, then the item lists information that oneself manages by each middle-agent's node connected sends to mobile client, and visitor manually selects final middle-agent's node (2) to connect according to the Item Information received.
3. a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, is characterized in that: described middle-agent's node (2) comprises service registry and services request two functions of process mobile client that connect:
1) service registry is realized by the article configuration file of retrieval center data server (3), article configuration file comprises the list information of all article and specifies the article that each middle-agent's node manages, and middle-agent's node finds out managed article according to configuration file;
2) middle-agent's node (2) is by create and BOUND communication socket waits for connection request from mobile client, and produce the connection request that child's process processes a mobile client, first this child's process will verify the bluetooth device address of mobile client, after completing checking, middle-agent's node (2) will receive the Connecting quantity of visitor, then according to visitor's Connecting quantity retrieval cache information, if the buffer memory of middle-agent's node (2) has the guide to visitors information of visitor, then direct article guide to visitors information is transmitted to visitor, if buffer memory does not retrieve the guide to visitors information of visitor, then forward the bluetooth device address of Connecting quantity and mobile client to Central Data Server, in the process of the above-mentioned request mobile client connection request of process, middle-agent's node (2) also processes the services request from other mobile clients simultaneously.
4. a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, it is characterized in that: described Central Data Server (3) is communicated with middle-agent's node (2) by any suitable network communications technologys such as Ethernet, bluetooth or wireless networks, be mainly used in storing and managing all item related information, Central Data Server (3) has two functions:
1) communication connection request of middle-agent's node (2) is managed, Central Data Server starts to wait for the connection request from middle-agent's node at the Service-Port of an acquiescence, when receiving middle-agent's node connection request, Central Data Server will produce child's process and this middle-agent's node connects and receives the Connecting quantity of visitor and the bluetooth device address of mobile client;
2) personalized article guide to visitors information is generated, Central Data Server (3) (comprises the Bluetooth address of visitor's Connecting quantity and visitor's mobile device) after the information receiving middle-agent's node, predefined personalized recommendation algorithm will be used to generate visitor's guide to visitors information (information type can be text, image, audio or video etc.), and this guide to visitors information will be returned to middle-agent's node; Meanwhile, in order to raise the efficiency, Central Data Server (3) will set up index stores for the Bluetooth address of visitor's mobile device and guide to visitors information, can obtain guide to visitors information fast when next time when running into identical Connecting quantity.
5. a kind of personalized recommendation based on context aware information as described in claim 1 or 3 and guide system, it is characterized in that: the input of described personalized recommendation algorithm is the Connecting quantity (comprising basic setup parameter and senior parameters) that arranges of visitor and mobile device Bluetooth address, and exporting is then the guide to visitors information returning to this visitor; The history guide to visitors information of this visitor can be obtained by the Bluetooth address of mobile device, the i.e. history preference information of visitor, and find out the user similar to this visitor according to the Connecting quantity that visitor is arranged, the personalized recommendation algorithm that the present invention proposes obtains the Candidate Recommendation information aggregate of two guide to visitors information respectively based on history preference information and similar users, then the guide to visitors information of these two Candidate Recommendation set is merged, by the guide to visitors information recommendation of optimum to visitor.
6. a kind of personalized recommendation based on context aware information and guide system as claimed in claim 1, is characterized in that: the communication that described mobile client (1) and middle-agent's node (2) are supported between multiple bluetooth equipment by setting up distributed diffusion net, under normal circumstances, Bluetooth protocol allows a host node and 2-8 to build a piconet (piconet) from node, but when there being intensive visitor about article, multiple piconet must be connected build a distributed diffusion net to support all bluetooth devices, bridge (bridge) communication can be passed through between two piconets, all piconets that the distributed diffusion net organization algorithm based on persistent mode that the present invention proposes is set up all have a host node, maximum 4 from node and maximum 3 bridge, organization algorithm step is as follows:
1) each middle-agent's node (2) is searched for neighbouring maximum 7 nodes and is created incipient piconet, searched to node be in inquiry scan state, and assign its role to be from node or bridge by middle-agent's node (2), if be appointed as from node, then this node connects with middle-agent's node (2) and enters connection status, can not be arrived by other node searchings again; If be appointed as bridge, because each bridge needs to be connected with the host node of another piconet, so candidate's host node must be had to match with it, this bridge is connected with corresponding candidate's host node with middle-agent's node (2) simultaneously, enters connection status;
2) candidate's host node is searched for neighbouring node and is created new piconet, because candidate's host node with one bridge is connected, so the piconet created can only have at most 2 bridge; Meanwhile, this bridge be also one from node, therefore candidate's host node can only search at most 3 from node;
3) all candidate's host nodes perform step 2), thus more piconets can be produced;
4) piconet constructive process outwards launches from middle agent node (2) gradually, finally generates a distributed loose look net linked together by each bridge.
7. a kind of personalized recommendation based on context aware information as described in right 1 and guide system, is characterized in that it comprises following operation steps:
(A) when visitor enters the common implementing such as museum or exhibition center, the mobile device carried by oneself receives personalized guide to visitors information, needs to arrange Connecting quantity on the mobile device of oneself;
(B) after setting Connecting quantity, mobile client (1) searches suitable middle-agent's node (2) by automatic by Bluetooth function, if only search middle-agent's node (2), then mobile client (1) just and this middle-agent's node (2) connect; If search more than middle-agent's node (2), then first all set up with all middle-agent's nodes (2) and be connected temporarily, then the item lists that oneself manages by each middle-agent's node (2) connected sends to mobile client (1), and visitor selects final middle-agent's node (2) to connect according to the information received;
(C) middle-agent's node (2) will produce child's process to process the connection request of mobile client (1), first this child's process checks visitor's guide to visitors information of oneself buffer memory according to Connecting quantity, meet the guide to visitors information of Connecting quantity, directly return the mobile device sending to visitor if having; If do not find suitable guide to visitors information at the buffer memory of middle-agent's node (2), then this child's process is by the bluetooth device address of checking visitor mobile device;
(D) after completing connectivity verification, middle-agent's node (2) will receive the Connecting quantity of visitor, and the bluetooth device address forwarding Connecting quantity and mobile client (1) is to Central Data Server (3);
(E) Central Data Server (3) (comprises Connecting quantity and mobile device Bluetooth address after receiving the tourist information that middle-agent's node (2) sends, use personalized recommendation algorithm is generated visitor's guide to visitors information, and this guide to visitors information is returned to middle-agent's node (2);
(F) after the guide to visitors information that middle-agent's node (2) receiving center data server (3) sends, being transmitted to the mobile device of visitor, replacing according to not using at most recently the guide to visitors information that algorithm upgrades middle-agent's node (2) buffer memory simultaneously.
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| CN106921692A (en) * | 2015-12-24 | 2017-07-04 | 北京奇虎科技有限公司 | Sight spot voice transmission method and explanation controller |
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| CN110971627B (en) * | 2018-09-28 | 2022-08-05 | 杭州海康威视数字技术股份有限公司 | Node control method and device and task processing system |
| CN110472139A (en) * | 2019-07-16 | 2019-11-19 | 浙江大学城市学院 | A kind of personalized recommendation based on context aware information and guide system and control method |
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