Mixed recommendation method based on excavation of user behavior compositing factor

A recommendation method and hybrid recommendation technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as the decline in the quality of user interest models

Active Publication Date: 2015-07-29
SOUTHEAST UNIV
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Problems solved by technology

The reduction of feature information may lead t...

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  • Mixed recommendation method based on excavation of user behavior compositing factor
  • Mixed recommendation method based on excavation of user behavior compositing factor
  • Mixed recommendation method based on excavation of user behavior compositing factor

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Embodiment Construction

[0070] The present invention will be further described below in conjunction with the accompanying drawings.

[0071] A hybrid recommendation method based on mining compound factors of user behavior, including three parts: a recommendation method for user personality factors, a recommendation method for user commonality factors, and adaptive hybrid calculation. Suppose there are a total of U users and M items and N item attributes, user u has given evaluations to Q items among them, forming an item set Q(u); the specific implementation process is as follows:

[0072] (1) Recommendation method for user personality factors:

[0073] The item-based collaborative filtering algorithm recommends items similar to items previously evaluated by the user, specifically: for item i, select K items most similar to item i from the item set Q(u) corresponding to user u to form a set S(i, K), the similarity ω between item k and item i in the set S(i, K) ik is the weight to predict the rating...

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Abstract

The invention discloses a mixed recommendation method based on excavation of a user behavior compositing factor. From the point of view of user behavior influencing factors (personalized factors and common factors), in allusion to each influencing factor, a personalized recommendation algorithm is provided so as to fully extract influence of the influencing factor on user behavior; finally, according to historical data of users, recommendation results reflecting the two kinds of influencing factors are dynamically mixed, and personalized recommendation services are provided for different users.

Description

technical field [0001] The invention relates to a hybrid recommendation method based on mining compound factors of user behavior. Background technique [0002] Acronyms and key term definitions [0003] CF collaborative filtering Collaborative filtering [0004] CBF content-based filtering content-based filtering [0005] ItemCF Item-based collaborative filtering [0006] UserCF User-based collaborative filtering User-based collaborative filtering [0007] SP-ItemCF Special Factor Item-based filtering Priority personality factor improved collaborative filtering algorithm based on items [0008] COM-UserCF Common Factor User-based filtering The improvement of the priority common factor is based on the user-based collaborative filtering algorithm [0009] The recommendation system is an information filtering system to solve the problem of information overload. The recommendation system technology has a long history of development, during which a large number of recommend...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/9535
Inventor 徐平平刘博宇
Owner SOUTHEAST UNIV
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