Resource individuation recommendation method based on user relevance

A recommendation method and user technology, applied in special data processing applications, instruments, electronic digital data processing, etc., can solve the problems of high dimension of target user score matrix, obliteration of user personalization, and huge amount of calculation data.
CN102750336AInactive Publication Date: 2012-10-24UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2012-10-24
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a resource individuation recommendation method based on user relevance. The method comprises firstly using a user relevance rule mining technique for analyzing history grading records of a user on resources and excavating a frequent set of a target user; then selecting one target user frequent set which is maximum in number of terms and highest in support to build an interest similar group of the target user; inputting history grades of the user in the interest similar group of the target user on the resources in a Slope One algorithm to serve as core data, and conducting grade forecast on resources without visiting of the target user; and finally recommending the resources without visiting and with a grade predicted value larger than the threshold value of the target user to the target user according to the value. Users with similar interests of the target user are used for forecasting in a process of grade forecast of the Slope One algorithm on the resources without visiting of the target user, grade matrix dimensionality of the target user and intermediately calculated data quantity are reduced, and accuracy rate of the grade forecast is improved.
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Description

technical field

[0001] The invention belongs to the technical field of network application personalized recommendation, and specifically relates to a resource personalized recommendation method based on user relevance. Background technique

[0002] With the rapid development of the Internet, the information resources in the network are becoming more and more abundant, which makes people worry about the scarcity of resources and the trouble of resource overload. Faced with massive resource information, it is often difficult for users to find the most suitable or most interesting resource. Therefore, in order to solve the problem of obtaining user preference information from massive resources, resource personalized recommendation systems are widely used in major commercial websites.

[0003] Collaborative filtering is currently the most widely used and successful personalized recommendation system. It aims to approximate the target user's rating of a resource based on the ra...

Claims

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