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User interest drift detection method and system based on network structure

A technology of user interest and drift detection, which is applied in the field of personalized recommendation methods and systems, can solve problems such as noise interference, large calculation overhead, and impact on stability, and achieve the effects of avoiding impact, reducing the amount of calculation, and quickly detecting

Inactive Publication Date: 2009-10-07
UNIV OF SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] The purpose of the present invention is to at least solve one of the above-mentioned technical defects, especially solve the defects of large calculation overhead and noise interference affecting stability

Method used

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  • User interest drift detection method and system based on network structure
  • User interest drift detection method and system based on network structure
  • User interest drift detection method and system based on network structure

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Embodiment Construction

[0027] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0028] The present invention mainly consists in constructing a similar network based on the items visited by the user, and removing noisy users based on the density and continuity of the network, and at the same time detecting the occurrence and occurrence time of interest drift according to the density change, which greatly reduces the The amount of calculation is small, and the influence of noisy user data on the stability of the recommendation system is avoided while quickly detecting interest drift.

[0029] like figure 1 As shown, ...

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Abstract

The invention provides an user interest drift detection method and system based on network structure, comprising the following steps: constructing a global item network GIN; detecting whether the user is noise user or not; using the cutting algorithm based on consistency after removing the noise user and detecting whether the user interest drift generates or not and the searching the drift position. The detection method greatly reduces the calculation amount and realizes the quick detection of the user interest drift and prevents the noise user from influencing the stability of a recommendation system.

Description

technical field [0001] The invention relates to the field of network media services, in particular to a personalized recommendation method and system. Background technique [0002] With the continuous enrichment of Internet resources, problems such as information overload and information loss are becoming more and more serious, so personalized recommendation systems have received extensive attention. Personalized recommendation system establishes the binary relationship between users and information products, uses the existing selection process or similarity relationship to mine each user's potential interested objects, and alleviates the pressure brought by the information explosion to a certain extent. [0003] The foundation and core of a personalized recommendation system is user interest modeling. User interest modeling is to generate a user model that represents the user's unique background knowledge or interests and needs by acquiring and maintaining knowledge relate...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/18H04L12/24
Inventor 陈恩红杨杰刘淇宝腾飞
Owner UNIV OF SCI & TECH OF CHINA
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