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Single-classification collaborative filtering method based on user personality hierarchical structure

A layered structure and collaborative filtering technology, applied in data processing applications, special data processing applications, instruments, etc., can solve the problem that users cannot provide personalized recommendations

Active Publication Date: 2019-11-05
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a single-category collaborative filtering method based on the hierarchical structure of user personality, which solves the problem that the prior art cannot accurately provide personalized recommendations for users

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  • Single-classification collaborative filtering method based on user personality hierarchical structure
  • Single-classification collaborative filtering method based on user personality hierarchical structure
  • Single-classification collaborative filtering method based on user personality hierarchical structure

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Embodiment Construction

[0086] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. example. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0087] The embodiment of the present application provides a single-category collaborative filtering method based on the hierarchical structure of user personality, which solves the problem that the existing technology cannot accurately provide personalized recommendations for users, and realizes accurate provision of personalized recommendations for users.

[0088] The technical solution in the embodiment of the present applic...

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Abstract

The invention provides a single-classification collaborative filtering method based on a user personality hierarchical structure, and relates to the field of computer data processing. The method for applying the user personality hierarchical structure to the single-classification collaborative filtering algorithm provided by the invention is suitable for processing implicit feedback data. A traditional single-classification collaborative filtering method does not have a hierarchical structure fused with a user; according to the method provided by the invention, based on weighted matrix decomposition, users are layered by introducing personality trait information, a layered structure of the users is constructed, existing information is fully utilized, the problem of data sparseness is relieved, and the unfriendliness of a recommendation system to new users is reduced, so that personalized recommendation of commodities to the users is more accurate.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to a single-category collaborative filtering method based on user personality hierarchical structure. Background technique [0002] With the development of e-commerce, the products on major shopping websites are extremely rich, and how to help users easily select favorite items from a variety of products has become a major challenge. In this environment, the recommendation system has gradually become one of the tools to deal with this challenge, and has been applied to major e-commerce shopping sites and video music sites, increasing the two-way economic benefits and overall satisfaction of consumers and businesses. [0003] Collaborative filtering method is one of the most popular product recommendation methods, which can predict the user's preference for items only by the user's historical browsing data or scoring data. However, in shopping and music video websit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06Q30/0631G06F16/9535
Inventor 孙见山宋建刘业政姜元春凌海峰孙春华陈夏雨刘春丽应蓉蓉耿杰
Owner HEFEI UNIV OF TECH
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