CN101079824A - A generation system and method for user interest preference vector - Google Patents

A generation system and method for user interest preference vector Download PDF

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Publication number
CN101079824A
CN101079824A CNA2006100612060A CN200610061206A CN101079824A CN 101079824 A CN101079824 A CN 101079824A CN A2006100612060 A CNA2006100612060 A CN A2006100612060A CN 200610061206 A CN200610061206 A CN 200610061206A CN 101079824 A CN101079824 A CN 101079824A
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China
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user
interest preference
preference vector
storage center
vector
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CNA2006100612060A
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Chinese (zh)
Inventor
丁江伟
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腾讯科技(深圳)有限公司
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Priority to CNA2006100612060A priority Critical patent/CN101079824A/en
Publication of CN101079824A publication Critical patent/CN101079824A/en

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Abstract

The invention discloses a generating system and method of user' s interest preference vector, which comprises the following parts: user enroll information storage center, click interactive-journal storage center, topic semantic extracting mode to analyze the interactive journal within certain time in the click interactive-journal storage center to obtain topic classifying mark vector according to the semantic strength sequence, interest preference counting mode to acquire and analyze the static enroll information of user from user enroll information storage center and topic classifying mark vector from the topic semantic extracting mode to obtain the interest preference vector of user. The invention can push information or supply service according to the interest preference vector selectively, which projects the information and service of the user' s interest.

Description

A kind of user interest preference vector generation system and method

Technical field

The present invention relates to network service, more particularly, relate to a kind of user interest preference vector generation system and method.

Background technology

Present stage most service platforms such as IM (instant messaging) instrument, system of forum, mail system all can in user's registration, collect user's static informations such as age, sex, educational background, interest, but for the browsing content of user when using the sp service, click multidate information such as interaction content and well do not collect, analyze and utilize.User's interest preference still is in the conceptual phase, and the description of the data structure that neither one is quantitative does not more have commercial the application.The service provider is not targetedly to information and the service that the user pushes, and the uninterested content of user usually can cause interference to the user, thereby has reduced satisfaction and the loyalty of user to website, service terminal etc.

Summary of the invention

The object of the present invention is to provide a kind of user interest preference vector generation system and method, make service platform to provide personalized service to the user according to user interest preference.

Technical scheme of the present invention is: a kind of user interest preference vector generation system, comprise, and user's register information storage center, it is used to store user's static attribute; Click the interactive log storage center, it is used for the click interactive log in recording user a period of time; Also comprise: theme extraction of semantics module and interest preference computing module; User in a period of time that described theme extraction of semantics module is used for described click interactive log storage center is stored clicks interactive log analysis, obtains a subject classification mark vector by semantic intensity ordering; Described interest preference computing module is used for obtaining user's static registration information, obtaining described subject classification mark vector from described theme extraction of semantics module from described user's register information storage center, and above-mentioned information analyzed, obtain associated user's interest preference vector.Described user interest preference vector comprises that at least the user uses geographical position preference, language preference, classification preference, the semantic preference of its browsing page, the product brand preference of service platform.

Further, system of the present invention also comprises user interest preference vector storehouse, and it is used to store user's interest preference vector; Accordingly, described interest preference computing module also obtains user's historical interest preference vector simultaneously from described user interest preference vector storehouse, analyze with described static registration information and subject classification mark vector, obtaining the current interest preference vector of user, and store in the described user interest preference vector storehouse.

Further, system of the present invention also comprises: the user registers the login management module, it is used for the Register Cancel of process user, the modification of log-on message, user's authentication, manages described user's register information storage center, and provides user data for user identification module; User identification module, it is used for the user is carried out identification; The user clicks the interactive log logging modle, and it is used for this behavior on service platform of recording user, and stores described click interactive log storage center into; Described user is by identification.

Service platform of the present invention is at least a in following: immediate communication tool, website business platform, blog system, mobile communications tool, forum or mailing system.

The present invention also provides a kind of user interest preference vector generation method, and this method may further comprise the steps:

(a), described theme extraction of semantics module is clicked interactive log analysis to the user in a period of time of described interactive log storage center storage, obtain a subject classification mark vector, and send to described interest preference computing module by semantic intensity ordering;

(b), described interest preference computing module carries out analysis-by-synthesis to static registration information, subject classification mark vector and the historical interest preference vector information of relative users, obtains associated user's current interest preference vector.

Further, step (a) also comprises step (a0) before, after the user brings into use service platform, described user clicks the interactive log logging modle and obtains the active IP information of relative users at least, brings into use service time of origin, duration, interactive information, and above-mentioned information stores is arrived described click interactive log storage center.In the step (a), described theme extraction of semantics module is regularly clicked interactive log analysis to user described interactive log storage center storage, in a period of time.And in the step (a0), after the user brought into use service platform, described user identification module at first carried out identification to the user.

Further, further comprise step (b1) after the step (b), described interest preference computing module stores user's current interest preference vector in the described user interest preference vector storehouse into.

Beneficial effect of the present invention is: the interest preference vector that can obtain the user by user's register information, historical interest preference information, the page of browsing, chat content etc.Service platform just can according to user's interest preference vector targetedly, pushed information or service is provided selectively, outstanding user's interest information and service, minimizing promotes satisfaction, the loyalty of user to service platform to user's harassing and wrecking with this.

Description of drawings

Fig. 1 is the structure chart of a kind of user interest preference vector of the present invention generation system.

Fig. 2 is the flow chart of an application example of a kind of user interest preference vector generation method of the present invention.

Embodiment

The present invention is further elaborated with specific embodiment with reference to the accompanying drawings below.

Service platform described in the present invention can be immediate communication tool (IM), forum, website business platform, blog system, mobile communications tool, mailing system etc.Described a kind of user interest preference vector generation system is arranged on server end.Wherein, the website business platform can be that the ticket booking net waits website or the news category website based on sale, and mobile communications tool can be band devices and handset having Internet, PDA wireless portable machines such as (palmtop PCs).

As shown in Figure 1, a kind of user interest preference vector generation system comprise that the user registers that login management module 1, user's register information storage center 2, user identification module 3, user are clicked interactive log logging modle 4, clicked interactive log storage center 5, theme extraction of semantics module 6, interest preference computing module 7 and user interest preference vector storehouse 8.

Wherein, the user registers login management module 1 responsible the processing and signs in to the Register Cancel of the user on the service platform, the modification of log-on message and user's message such as authentication, and the information in the real-time update user register information storage center 2.It is the manager of user's register information storage center 2, also provides user ID data for user identification module 3 simultaneously.It links to each other with service platform, user's register information storage center 2, user identification module 3.

User's register information storage center 2 is used to store user's register information.These information can be that the user fills in when registering, and also can be to login the back afterwards to revise.The information such as age, sex, educational background, address, contact method and hobby that can comprise the user.User's register information storage center 2 is registered login management module 1 with the user, interest preference computing module 7 links to each other.

The user identification module 3 main responsible not identifications of login user are registered the login management module from the user and are downloaded the information that can determine user identity.Can identify by IP login user not, judge it is which user with the IP address.Also be responsible for obtaining of all state of user maintenances and user's static registration information simultaneously.It is registered login management module 1 with service platform, user and clicks interactive log logging modle 4 with the user and link to each other.

The user clicks interactive log logging modle 4 and is responsible for this behavior on service platform of recording user, and stores recorded information into click interactive log storage center 5.The information of its record can comprise the time of origin of browsing forum, webpage, duration, uri (unified resource identifier), the click interaction content etc. of IP information, browsing page initiatively.For the IM system, this module also is responsible for the chat content of recording user.It links to each other with click interactive log storage center 5 with user identification module 3.

Click interactive log storage center 5 and be used to store the information of clicking interactive log logging modle 4 records from the user.The capacity that is limited to memory, storage center are generally only stored the user in the regular period, as trimestral record.

Theme extraction of semantics module 6 is responsible for regularly or according to setting-up time the click interactive log of user in a period of time being analyzed, calculate the subject content of browsing at every turn or chatting, and these contents are carried out ordering by semantic intensity according to the semantic classification system of current service platform, obtain before the rank vector of n subject classification sign.Above-mentioned a period of time can be in one month, in the week or other fixed time limit.Theme extraction of semantics module 6 links to each other with click interactive log storage center 5, interest preference computing module 7.

Interest preference computing module 7 is responsible for calculating the interest preference vector of relative users, its by to user's static registration information, dynamically click interactive subject semanteme (being above-mentioned subject classification mark vector) and user's historical interest preference vector and carry out analysis-by-synthesis, obtaining the new interest preference vector of relative users, and store user interest preference vector storehouse 8 into.

The user interest preference vector can comprise: the user browses the semantic preference, product brand preference of geographical position preference, language preference, service type preference, information category preference, user's browsing page of forum, webpage etc. and clicks preference information.Wherein, the geographical position preference is meant that the user is partial to online somewhere, be Beijing such as the geographical position preference of user's historical interest preference vector explicit user, but recently in Shanghai, then service platform can redirect the user to the server in Shanghai.

The user interest preference vector that storage user interest preference computing module 7 generates is responsible in user interest preference vector storehouse 8.In general, the user interest preference vector of its storage is formed by the vectorial superposition mutually of historical interest preference after the interest preference that calculates recently vector and the decay.The half period that can define the decay of historical interest preference vector is: decay to original 1/2 weekly.This vector storehouse can be upgraded with the new online click interbehavior of user.

In a kind of practical application, professional relatedness computation module 9 in service platform or the server can be regularly or according to setting-up time, from user interest preference vector storehouse 8, obtain user's interest preference vector, the calculating of the industry of the going forward side by side affair degree of correlation, and the result is sent to differentiated service module 10 is provided.Described differentiated service provides module 10 to provide service targetedly according to the degree of correlation of business for the user, push its interested advertisement or the page etc. to the user, and click the action of interactive log logging modle 4 real time record users new Push Service by the user.For example, the interest preference vector that professional relatedness computation module 9 obtains user A is the interest_vector{{ number, and digital camera is long burnt } }, then search advertising message or the service relevant in its business library with Telephoto Digital Camera, and be pushed to the user.

Use the IM chat to introduce a kind of user interest preference vector generation method of the present invention, reach the flow chart of serving the application example that pushes with the user below as example:

S1, user bring into use a service class website or information service that IM provided.

S2, user identification module 3 is discerned user identity according to user's login situation or active IP information; Indicate the user for login user not according to user's IP address.

S3, interest preference computing module 7 obtains user's static registration information register_a, obtains the historical interest preference vector of user interest_vector_a from user interest preference vector storehouse 8 from user's register information storage center 2.Professional relatedness computation module 9 on server or the service platform also obtains associated user's interest preference vector, outputs to differentiated service after the line correlation of going forward side by side calculates module 10 is provided.

Wherein, user's registration information register_a shows that this user is 28 years old the IT research staff in Beijing area.Its historical preference vector interest_vector_a explicit user is paid close attention to the particularly long burnt camera of relevant information of digital camera recently.

S4, the differentiated service on server or the service platform provides the output of module 10 according to professional relatedness computation module 9, provides service personalized, differentiation to the user: as throw in the Telephoto Digital Camera advertisement that the Beijing area young man makes earnest efforts to the user.

S5, the user clicks this action on service platform of interactive log logging modle 4 recording users, comprise initiatively ip, time of origin, browse url or click, mutual content clicks interactive log logging modle 4 to the user, and stores click interactive log storage center 5 into.

S6, theme extraction of semantics module 6 is regularly analyzed the content of clicking interactive log storage center 5, extracts the theme semanteme of user's browsing information, and sends it to interest preference computing module 7.Described theme semanteme is a subject classification mark vector by semantic intensity ordering.

For example, theme extraction of semantics module 6 historical interactive log to the user when timer time takes place is analyzed, mainly be that next has chatted Nokia's 3310 mobile phones at BMW car merely when finding user and friend B chat, then this of A browsed semanteme and be calculated as the interest_vector_a_new{{ automobile, car, BMW }, { number, mobile phone, Nokia, the 3310}} of Nokia.

S7, interest preference computing module 7 carries out analytical calculation according to the user's of its acquisition register information register_a, historical interest preference vector interest_vector_a and the semantic interest_vector_a_new of browsing information theme, obtains user's current interest preference vector interest_vector{{ number, digital camera, long burnt }, { automobile, car, BMW }, { number, mobile phone, Nokia, the 3310}} of Nokia.

S8, interest preference computing module 7 stores user's current interest preference vector into user interest preference vector storehouse 8, and user interest preference vector storehouse 8 is upgraded.

S9, professional relatedness computation module 9 obtains user's up-to-date interest preference vector from user interest preference vector storehouse 8, output to differentiated service after the line correlation of going forward side by side calculates module 10 is provided, differentiated service provides module 10 to provide the service personalized, differentiation of being correlated with according to the output of professional relatedness computation module 9 to the user, as the advertisement of BMW car or Nokia's mobile phone.

S10, one time the user interest preference vector generates and its process of providing personalized service end more.

The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within the claim scope of the present invention.

Claims (10)

1, a kind of user interest preference vector generation system comprises, user's register information storage center, and it is used to store user's static attribute; Click the interactive log storage center, it is used for the click interactive log in recording user a period of time; It is characterized in that, also comprise: theme extraction of semantics module and interest preference computing module;
User in a period of time that described theme extraction of semantics module is used for described click interactive log storage center is stored clicks interactive log analysis, obtains a subject classification mark vector by semantic intensity ordering;
Described interest preference computing module is used for obtaining user's static registration information, obtaining described subject classification mark vector from described theme extraction of semantics module from described user's register information storage center, and above-mentioned information analyzed, obtain associated user's interest preference vector.
2, a kind of user interest preference vector generation system according to claim 1, it is characterized in that: also comprise user interest preference vector storehouse, it is used to store user's interest preference vector; Accordingly, described interest preference computing module also obtains user's historical interest preference vector simultaneously from described user interest preference vector storehouse, analyze with described static registration information and subject classification mark vector, obtaining the current interest preference vector of user, and store in the described user interest preference vector storehouse.
3, a kind of user interest preference vector generation system according to claim 1 is characterized in that, also comprises:
The user registers the login management module, and it is used for the Register Cancel of process user, the modification of log-on message, user's authentication, manages described user's register information storage center, and provides user data for user identification module;
User identification module, it is used for the user is carried out identification;
The user clicks the interactive log logging modle, and it is used for this behavior on service platform of recording user, and stores described click interactive log storage center into; Described user is by identification.
4, a kind of user interest preference vector generation system according to claim 3, it is characterized in that described service platform is at least a in following: immediate communication tool, website business platform, blog system, mobile communications tool, forum or mailing system.
5, a kind of user interest preference vector generation system according to claim 1, it is characterized in that: described user interest preference vector comprises that at least the user uses geographical position preference, language preference, classification preference, the semantic preference of its browsing page, the product brand preference of service platform.
6, a kind of user interest preference vector generation method is characterized in that, this method may further comprise the steps:
(a), described theme extraction of semantics module is clicked interactive log analysis to the user in a period of time of described interactive log storage center storage, obtain a subject classification mark vector, and send to described interest preference computing module by semantic intensity ordering;
(b), described interest preference computing module carries out analysis-by-synthesis to static registration information, subject classification mark vector and the historical interest preference vector information of relative users, obtains associated user's current interest preference vector.
7, a kind of user interest preference vector generation method according to claim 6, it is characterized in that: step (a) also comprises step (a0) before, after the user brings into use service platform, described user clicks the interactive log logging modle and obtains the active IP information of relative users at least, brings into use service time of origin, duration, interactive information, and above-mentioned information stores is arrived described click interactive log storage center.
8, a kind of user interest preference vector generation method according to claim 7, it is characterized in that: in the step (a), described theme extraction of semantics module is regularly clicked interactive log analysis to user described interactive log storage center storage, in a period of time.
9, a kind of user interest preference vector generation method according to claim 7 is characterized in that: in the step (a0), after the user brought into use service platform, described user identification module at first carried out identification to the user.
10, a kind of user interest preference vector generation method according to claim 6, it is characterized in that: further comprise step (b1) after the step (b), described interest preference computing module stores user's current interest preference vector in the described user interest preference vector storehouse into.
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