CN105787066A - Digital content distribution system based on total analysis - Google Patents
Digital content distribution system based on total analysis Download PDFInfo
- Publication number
- CN105787066A CN105787066A CN201610114218.9A CN201610114218A CN105787066A CN 105787066 A CN105787066 A CN 105787066A CN 201610114218 A CN201610114218 A CN 201610114218A CN 105787066 A CN105787066 A CN 105787066A
- Authority
- CN
- China
- Prior art keywords
- content
- user
- information
- service
- digital content
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The invention discloses a digital content distribution system based on total analysis. Statistical modeling is conducted on resource contents through the system, and modeling is performed by combining with features of the resource contents according to the fields of regions, industries, specialties and the like respectively; an interest model is established according to the view points of a user based on a user interest model integrating browsed contents and behavior analysis, and then whether the user focuses on the contents or not is determined by calculating the matching degree between a total analysis model of the resource contents and the user interest model and the contents having high matching degree are sent to the user so as to achieve intelligent personalized-information matching based on the user interest model. The digital content distribution system can effectively integrate information resources in a certain field, helps personal and enterprise users having actual information requirements to accurately and efficiently obtain and make use of required information in time, and has the advantages of being personalized and customized in the processes of information distribution, acquisition, pushing and the like.
Description
Technical field
The present invention relates to digital distribution software field, particularly to a kind of digital content delivery system based on complete analysis being applied to innovation resources information integration service platform.
Background technology
The Internet universal has caused greatest propagation revolution since typography invention, at present, the Internet has become as the Information Communication platform of the most extensive also most convenient of contact, the characteristics such as it is fast with Information Communication speed, contain much information, do not limited by space-time, compatibility multimedia messages and be subject to the favor of people, be acknowledged as " fourth media ".
Information resources vast as the open sea on network, will help people to find required information rapidly and accurately, are not nothing the matters.General user's Network Search information is only by traditional search engines, directly access targeted website or by several fixing approach such as special information offer websites, and these several approach can not meet the demand of user well, also has the information that a large number of users needs not by real the finding and being used of user.
Along with development and the application of data mining technology, engender more and more by analyzing user's browsing histories acquisition user interest and demand and carrying out the system of information pushing.Such as: Chinese invention patent document, publication date is: 2013.02.27, publication number is: CN102946423A, denomination of invention is: a kind of data based on distributed system architecture map supplying system and method, this system is made up of data acquisition module, data-pushing module, data parsing package module, data match module, data mapping module and data display module, and mapping across business scope of data resource is pushed.This system and method, it is based on C/S model (client server mode), it is made up of client-server and central server, when client and central server carry out data interaction, the content of central server meeting recording interactive, so can take central server resource, thus strengthening central server pressure.
The appearance of this type of system, looks for information by the past simple people, converts in order to information looks for people, changes people and obtain the one way system of internet information, from the problem largely solving user and obtaining information, but there is also some problems, is mainly manifested in:
1, Users' Interests Mining is inaccurate: General System employing browses information according to user and judges the interest of user, and user browses what information was determined according to provisional interest often, relying solely on the random foundation being pushed to user profile as system of user, frequently resulting in the information occurring being pushed to user is not the situation required for user sometimes.
2, approach is few, autgmentability is poor in information distribution: General System is distributed to the information of user often through modes such as single website orientation, mailing systems, mode is relatively fewer, and not easily extend, poor for mode supports conditions such as emerging wechat, microbloggings, some specific demand satisfaction degrees of user are not high.
Therefore, if a kind of digital distribution system based on complete analysis of research and development can be built, then existing practical problem can be solved.
Summary of the invention
It is desirable to provide a kind of digital content delivery system based on complete analysis, the information resources in a certain field can be effectively integrated, help the individual and enterprise customer that there are actual information demand obtain and utilized accurately, efficiently, in time information needed, and the process such as the distribution of information, acquisition, propelling movement has the feature of personalization and customizable.
Technical scheme is as follows:
Digital content delivery system based on complete analysis, it is characterised in that including:
Organizing digital content system, is used for providing data storage and access service；
Information portal, for external service interaction, is external service interface；
System service module, for providing the service of the distribution of Content Management, information subscribing, information pushing, content, complete analysis；
Content service and access interface, externally carry out data syn-chronization and mutual interface service for providing, and obtains interface including exterior content and local content accesses service.
Several carry out data interaction by content service and access interface each other based on the digital content delivery system of complete analysis.
Described organizing digital content system includes local information database, external information data base, service information data storehouse and each data content access interface.
Described information portal includes content service door and back-end content management system, content service door for providing user to carry out to browse, the vertical information door of Query Information, back-end content management system is for providing management and service for unit of operation.
Further, described content service door includes knowledge base and foreground content service door in individual knowledge on net storehouse, enterprise network；Content service door in foreground is for the interface of all users browse queries information at any time；Individual knowledge on net storehouse carries out the cyberspace of personal knowledge management for personal user's login system；The cyberspace that in enterprise network, knowledge base is managed for corporate user registration system and services.
Based on the digital content distribution method of said system, its distribution flow includes several ways, specific as follows
The first:
User inputs desired content, and desired content is analyzed, and from existing resources bank, demand is mated, and system is sent to user the optimum N bar result of coupling.
The second:
Based on the digital content distribution method of said system, its distribution flow includes:
The attributes such as the industry of user setup oneself, region, browse, collect the resource content of offer, then interest model is set up according to user behavior and user property, again from the content that existing resources bank coupling is relevant to user interest model, then the optimum N bar result of coupling is sent to user, matching result is browsed collection by user, and system improves interest model according to the feedback of user；Wherein, N is be more than or equal to 0.
The third:
(1) user setup needs content topic and the content conditions of distribution；
(2) user setup receives mode, the mode such as including interior message of standing, Email, SMS, wechat, data base interface, network application interface；
(3) user setup receives the time, including reception time, repetition period；
(4) record distributed tasks is set according to user, is stored in data base；
(5) service information data storehouse, automatic distributing (system distributes content automatically according to reception time and the reception mode of distributed tasks), user accepts content (message, Email, SMS, wechat, data base, network application in standing);
(6) content according to service information data storehouse, carries out automatic distributing, and user receives corresponding content subsequently；
Or the content according to service information data storehouse, carries out complete analysis automatically according to distributed tasks to content, by local information database or external information data base, matching result is stored in data base.
In step (2), described content conditions includes the new content of issue demand coupling, user specifies the new content of a certain column, collects the new content of directory matches with user.
Relative to conventional contents dissemination system, the present invention has a characteristic that
1, information complete analysis and Intelligent Matching
First all of resource content (being stored in local information storehouse and external information storehouse) is adopted the method for TF-IDF to carry out statistical modeling by system, and in conjunction with resource content characteristic, model respectively according to fields such as region, industry, specialties, as talents information can be modeled according to region, specialty, information on bidding can be modeled according to region, industry.
Then, the user interest model that system combines based on web-browsing content and behavior analysis, multiple angles such as the attribute information (such as region, industry etc.) of the user passed through, user operation behavior (browse, collect, retrieval etc.), user's input demand, obtain the interest of user, set up interest model, and be indicated with the form of keyword feature vector, in order to carry out content matching.Web-browsing content analysis, it is simply that adopt the web page that user has been browsed by web clustering method to carry out content clustering, obtain the page set that user is interested；Behavior analysis is then that the information such as user search information, Information on Collection are analyzed, obtain the search key collection of user, and page set interested to user behavior information and user is combined, just obtaining user's subject categories interested and the interest-degree to different information, available interest classification represents the interest model of user.
System passes through the complete analysis model calculating resource content with the matching degree between user interest model, it is judged that whether user pays close attention to content, and content high for matching degree is sent to user, to realize the customized information Intelligent Matching based on user interest model.
2, extendible recommendation of personalized information and distribution engine
According to user interest model, system will search the information of coupling user model automatically in resource content (being stored in local information storehouse and external information storehouse), and the reception mode set according to user provides user customized information interested by modes such as wechat, microblogging, mail, notes in time, accurately as user.System additionally provides the expansion interface of standard, is conducive on the one hand carrying out information exchange with other homogeneous system, is easy to extend other ways of distribution on the other hand.
Beneficial effects of the present invention is as follows:
1, diversification user interest obtains
The present invention comprehensively sets up user interest model by aspects such as customer attribute information, user behavior, user's requests, browses custom acquisition user interest compared with single from user, more accurately.
2, automatic information pushes by all kinds of means
The present invention is the automatic pushed information of user by channels such as internal system, wechat, microblogging, mail, notes, and user can adjust the channel of acquisition information according to the custom of oneself, is more close to the users compared with General System.
Accompanying drawing explanation
Fig. 1 is the configuration diagram of the present invention；
Fig. 2 is the system composition structure chart of the present invention；
Fig. 3 is the user operation flow chart of the present invention；
Fig. 4 is present disclosure distribution flow figure.
Detailed description of the invention
Embodiment
As it is shown in figure 1, the configuration diagram of the digital content delivery system based on complete analysis, any communication between several digital content delivery systems, can be carried out.
As in figure 2 it is shown, the composition structure of the concrete digital content delivery system based on complete analysis, including:
Organizing digital content system, is used for providing data storage and access service；
Information portal, for external service interaction, is external service interface；
System service module, for providing the service of the distribution of Content Management, information subscribing, information pushing, content, complete analysis；
Content service and access interface, externally carry out data syn-chronization and mutual interface service for providing, and obtains interface including exterior content and local content accesses service.
Described organizing digital content system includes local information database, external information data base, service information data storehouse and each data content access interface.
Described information portal includes content service door and back-end content management system, content service door for providing user to carry out to browse, the vertical information door of Query Information, back-end content management system is for providing management and service for unit of operation.
Further, described content service door includes knowledge base and foreground content service door in individual knowledge on net storehouse, enterprise network；Content service door in foreground is for the interface of all users browse queries information at any time；Individual knowledge on net storehouse carries out the cyberspace of personal knowledge management for personal user's login system；The cyberspace that in enterprise network, knowledge base is managed for corporate user registration system and services.
As it is shown on figure 3, based on the digital content distribution method of said system, its distribution flow includes:
The first: after user registers login, inputting desired content, desired content is analyzed, from existing resources bank, demand is mated, system is sent to user the optimum N bar result of coupling；
The second: after user registers login, the attributes such as the industry of user setup oneself, region, browse, collect the resource content of offer, then interest model is set up according to user behavior and user property, again from the content that existing resources bank coupling is relevant to user interest model, then the optimum N bar result of coupling being sent to user, matching result is browsed collection by user, and system improves interest model according to the feedback of user；Wherein, N is be more than or equal to 0.
As shown in Figure 4, the third:
(1), after user registers login, the content topic and content conditions that need distribution are set；
(2) user setup receives mode, the mode such as including interior message of standing, Email, SMS, wechat, data base interface, network application interface；
(3) user setup receives the time, including reception time, repetition period；
(4) record distributed tasks is set according to user, is stored in data base；
(5) service information data storehouse, automatic distributing (system distributes content automatically according to reception time and the reception mode of distributed tasks), user accepts content (message, Email, SMS, wechat, data base, network application in standing);
(6) content according to service information data storehouse, carries out automatic distributing, and user receives corresponding content subsequently；
Or the content according to service information data storehouse, carries out complete analysis automatically according to distributed tasks to content, by local information database or external information data base, matching result is stored in data base.
In step (2), described content conditions includes the new content of issue demand coupling, user specifies the new content of a certain column, collects the new content of directory matches with user.
Claims (10)
1. based on the digital content delivery system of complete analysis, it is characterised in that including:
Organizing digital content system, is used for providing data storage and access service；
Information portal, for external service interaction, is external service interface；
System service module, for providing the service of the distribution of Content Management, information subscribing, information pushing, content, complete analysis；
Content service and access interface, externally carry out data syn-chronization and mutual interface service for providing, and obtains interface including exterior content and local content accesses service；
Several carry out data interaction by content service and access interface each other based on the digital content delivery system of complete analysis.
2. the digital content delivery system based on complete analysis according to claim 1, it is characterised in that: described organizing digital content system includes local information database, external information data base, service information data storehouse and each data content access interface.
3. the digital content delivery system based on complete analysis according to claim 1, it is characterized in that: described information portal includes content service door and back-end content management system, content service door for providing user to carry out to browse, the vertical information door of Query Information, back-end content management system is for providing management and service for unit of operation.
4. the digital content delivery system based on complete analysis according to claim 3, it is characterised in that: described content service door includes knowledge base and foreground content service door in individual knowledge on net storehouse, enterprise network；Content service door in foreground is for the interface of all users browse queries information at any time；Individual knowledge on net storehouse carries out the cyberspace of personal knowledge management for personal user's login system；The cyberspace that in enterprise network, knowledge base is managed for corporate user registration system and services.
5. based on the distribution method of the digital content delivery system based on complete analysis according to any one of claim 1-4, it is characterized in that distribution flow includes: user steps on input desired content, desired content is analyzed, from existing resources bank, demand being mated, system is sent to user the optimum N bar result of coupling.
6. based on the distribution method of the digital content delivery system based on complete analysis according to any one of claim 1-4, it is characterized in that distribution flow includes: the attribute of user setup oneself, browse, collect the resource content of offer, then interest model is set up according to user behavior and user property, again from the content that existing resources bank coupling is relevant to user interest model, then the optimum N bar result of coupling is sent to user, matching result is browsed collection by user, and system improves interest model according to the feedback of user；Wherein, N is be more than or equal to 0.
7. based on the distribution method of the digital content delivery system based on complete analysis according to any one of claim 1-4, it is characterised in that distribution flow also includes:
(1), after user logs in, the content topic and content conditions that need distribution are set；
(2) user setup receives mode；
(3) user setup receives the time；
(4) record distributed tasks is set according to user, is stored in data base；
(5) service information data storehouse, automatic distributing (system distributes content automatically according to reception time and the reception mode of distributed tasks), user accepts content (message, Email, SMS, wechat, data base, network application in standing);
(6) content according to service information data storehouse, carries out automatic distributing, and user receives corresponding content subsequently；
Or the content according to service information data storehouse, carries out complete analysis automatically according to distributed tasks to content, by local information database or external information data base, matching result is stored in data base.
8. the digital content distribution method based on complete analysis according to claim 7, it is characterized in that: in step (1), described content conditions includes the new content of issue demand coupling, user specifies the new content of a certain column, collects the new content of directory matches with user.
9. the digital content distribution method based on complete analysis according to claim 7, it is characterised in that: in step (2), described reception mode includes stand interior message, Email, SMS, wechat, data base interface, network application interface.
10. the digital content distribution method based on complete analysis according to claim 7, it is characterised in that: in step (3), the described reception time includes reception time, repetition period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610114218.9A CN105787066A (en) | 2016-03-01 | 2016-03-01 | Digital content distribution system based on total analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610114218.9A CN105787066A (en) | 2016-03-01 | 2016-03-01 | Digital content distribution system based on total analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105787066A true CN105787066A (en) | 2016-07-20 |
Family
ID=56386769
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610114218.9A Pending CN105787066A (en) | 2016-03-01 | 2016-03-01 | Digital content distribution system based on total analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105787066A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107566495A (en) * | 2017-09-06 | 2018-01-09 | 国云科技股份有限公司 | A kind of chance distribution method based on micro services |
| CN108573390A (en) * | 2017-03-08 | 2018-09-25 | 北京跃盟科技有限公司 | Content method for dynamically processing and system |
| CN109165348A (en) * | 2018-08-21 | 2019-01-08 | 麦格创科技（深圳）有限公司 | A kind of bidding information recommendation method, system and server |
| CN111582831A (en) * | 2020-05-12 | 2020-08-25 | 深圳博沃智慧科技有限公司 | Government affair mailbox management method, system and storage medium |
| CN112561465A (en) * | 2020-12-01 | 2021-03-26 | 中广核工程有限公司 | Service content distribution method and device, computer equipment and readable storage medium |
| CN113191896A (en) * | 2021-04-27 | 2021-07-30 | 华世界数字科技(深圳)有限公司 | Recommendation method and device for bidding information and computer equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763597A (en) * | 2010-01-11 | 2010-06-30 | 山东大学 | Rural informatization service platform based on information customization push technology and operating method thereof |
| CN102946423A (en) * | 2012-10-31 | 2013-02-27 | 中国运载火箭技术研究院 | Data mapping and pushing system and method based on distributed system architecture |
| CN103530371A (en) * | 2013-10-14 | 2014-01-22 | 李树青 | Method for realizing portable service framework |
| CN104980327A (en) * | 2014-04-03 | 2015-10-14 | 腾讯科技（深圳）有限公司 | Information push method and device |
-
2016
- 2016-03-01 CN CN201610114218.9A patent/CN105787066A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101763597A (en) * | 2010-01-11 | 2010-06-30 | 山东大学 | Rural informatization service platform based on information customization push technology and operating method thereof |
| CN102946423A (en) * | 2012-10-31 | 2013-02-27 | 中国运载火箭技术研究院 | Data mapping and pushing system and method based on distributed system architecture |
| CN103530371A (en) * | 2013-10-14 | 2014-01-22 | 李树青 | Method for realizing portable service framework |
| CN104980327A (en) * | 2014-04-03 | 2015-10-14 | 腾讯科技（深圳）有限公司 | Information push method and device |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108573390A (en) * | 2017-03-08 | 2018-09-25 | 北京跃盟科技有限公司 | Content method for dynamically processing and system |
| CN107566495A (en) * | 2017-09-06 | 2018-01-09 | 国云科技股份有限公司 | A kind of chance distribution method based on micro services |
| CN109165348A (en) * | 2018-08-21 | 2019-01-08 | 麦格创科技（深圳）有限公司 | A kind of bidding information recommendation method, system and server |
| CN111582831A (en) * | 2020-05-12 | 2020-08-25 | 深圳博沃智慧科技有限公司 | Government affair mailbox management method, system and storage medium |
| CN111582831B (en) * | 2020-05-12 | 2023-03-14 | 深圳博沃智慧科技有限公司 | Government affair mailbox management method, system and storage medium |
| CN112561465A (en) * | 2020-12-01 | 2021-03-26 | 中广核工程有限公司 | Service content distribution method and device, computer equipment and readable storage medium |
| CN113191896A (en) * | 2021-04-27 | 2021-07-30 | 华世界数字科技(深圳)有限公司 | Recommendation method and device for bidding information and computer equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9971842B2 (en) | Computerized systems and methods for generating a dynamic web page based on retrieved content | |
| KR101168705B1 (en) | Customized and intellectual symbol, icon internet information searching system utilizing a mobile communication terminal and IP-based information terminal | |
| CN101520784B (en) | Information issuing system and information issuing method | |
| US8032508B2 (en) | System and method for URL based query for retrieving data related to a context | |
| CN105787066A (en) | Digital content distribution system based on total analysis | |
| US9805123B2 (en) | System and method for data privacy in URL based context queries | |
| US8060492B2 (en) | System and method for generation of URL based context queries | |
| US20100125569A1 (en) | System and method for autohyperlinking and navigation in url based context queries | |
| KR20110000686A (en) | Open framework for integrating, associating and interacting with content objects | |
| WO2009111226A2 (en) | Social aspects of content aggregation syndication, sharing, and updating | |
| US20080195495A1 (en) | Notebook system | |
| CN101320373A (en) | Safety search engine system of website database | |
| US10095789B2 (en) | Method and system of searching composite web page elements and annotations presented by an annotating proxy server | |
| CN103064842B (en) | Information subscribing treating apparatus and information subscribing disposal route | |
| US20100042611A1 (en) | Location-based search mash-up engine, web site, and application programming interface | |
| US10867337B2 (en) | Creating secure social applications with extensible types | |
| Su | Accurate Marketing Algorithm of Network Video Based on User Big Data Analysis | |
| CN101788981A (en) | Deep web mobile search method, server and system | |
| Benedusi et al. | An associative engines based approach supporting collaborative analytics in the internet of cultural things | |
| Martoglia | AMBIT: semantic engine foundations for knowledge management in context-dependent applications | |
| Arnicans et al. | Intelligent integration of information from semistructured web data sources on the basis of ontology and meta-models | |
| Hongwei et al. | Adaptive site design based on web mining and topology | |
| García | Semantic Web End-User Tasks. | |
| Li et al. | Research on personalized document retrieval based on user interest model | |
| Dori et al. | Modeling Semantic Web Services with OPM/SA Human and Machine-Interpretable Language. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20160720 |