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Incremental update method of user interest model for personalized recommender system

A technology of user interest and incremental update, applied in special data processing applications, natural language data processing, instruments, etc., can solve the problem of low model update speed

Inactive Publication Date: 2016-06-22
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
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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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  • Incremental update method of user interest model for personalized recommender system
  • Incremental update method of user interest model for personalized recommender system
  • Incremental update method of user interest model for personalized recommender 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. The basic idea of ​​the method is to store and generate the intermediate results in the calculation process of the current user interest model, and to update the user interest model based on the intermediate results Do incremental calculations. On the premise of ensuring that the interest information is not lost during the update process, the present invention can meet the requirement that the user interest model can be continuously and rapidly updated even when the amount of data is huge, improves the performance of the recommendation system, and provides users with higher-quality services.

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 Patents(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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