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User interest model incremental update method of personalized recommendation system

A technology of user interest and recommendation system, which is applied in the field of incremental update of user interest model of personalized recommendation system, and can solve the problem of low model update speed

Inactive Publication Date: 2014-01-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

As the number of documents read by users increases, the number of documents of interest marked by them will also increase, and the computational efficiency of updating the user interest model is gradually highlighted, resulting in the adverse consequences that the model update speed is too low to meet user needs.

Method used

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  • User interest model incremental update method of personalized recommendation system
  • User interest model incremental update method of personalized recommendation system
  • User interest model incremental update method of personalized recommendation system

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Embodiment Construction

[0034] In the present invention, the process of constructing a user interest vector space model based on document content is as follows: figure 1 As shown in Fig. 1 , first, feature word selection and feature word weight calculation are performed on the documents that the user is interested in, and a document feature vector consisting of a set of feature words and their weights is obtained. The document feature vector extraction method can be obtained by using the feature word extraction function of ICTCLAS Chinese word segmentation software (http: / / ictclas.nlpir.org / ), or the feature word selection method based on word frequency. Multiple document feature vectors constitute a document feature vector set. After calculating the center vector of the document feature vector set, sort the dimensions of the center vector in descending order of weight, and select the first N dimensions as the user's interest model vector.

[0035] The calculation method of the center vector of the ...

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Abstract

The invention discloses a user interest model incremental update method of a personalized recommendation system. According to the basic principle of the method, the method includes storing and generating an intermediate result of calculation of a current user interest model, and performing incremental calculating on the basis of the intermediate result when the user interest model is updated. On the premise that interest information is protected from losing during updating process, the requirements that the user interest model can be updated rapidly and continuously on condition of large data amount can be met, performances of the recommendation system can be improved, and higher-quality service is provided for users.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a method for incrementally updating a user interest model of a personalized recommendation system. Background technique [0002] The personalized recommendation system establishes the binary relationship between the user and the recommended object, uses the existing selection process or similarity relationship to mine potential interested objects for each user, and then performs personalized recommendation (Liu Jianguo, Zhou Tao, Wang Binghong. Personality The research progress of the recommendation system [J]. Natural Science Progress, 2009, 19 (1), 1-15.). With the diversification of user needs, personalized recommendation systems have become more widely used, not only for e-commerce, but also for recommending web pages, documents, etc. For copywriters and researchers, it is necessary to consult a large number of documents frequently. The personalized recommenda...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/95G06F40/216G06F40/30
Inventor 姚兴苗夏春燕伍盛胡光岷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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