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A Recommended Method Considering Overlapping Community Effects

A recommendation method and overlapping community technology, applied in the recommendation field considering overlapping community effect, can solve the problem of cold start data sparse and so on

Active Publication Date: 2020-02-14
HEFEI UNIV OF TECH
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Problems solved by technology

[0005] In order to overcome the shortcomings of the existing technology, the present invention provides a recommendation method that considers overlapping community effects, in order to effectively solve the problems of "cold start" and data sparseness existing in the existing recommendation system, thereby improving the quality of recommendation and providing Provide users with better personalized services

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  • A Recommended Method Considering Overlapping Community Effects
  • A Recommended Method Considering Overlapping Community Effects
  • A Recommended Method Considering Overlapping Community Effects

Examples

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Embodiment Construction

[0039] In this embodiment, a recommendation method that considers overlapping community effects is to jointly apply user browsing behavior data and overlapping community data joined by users to a probability generation model, and its probability graph model is as follows: figure 1 shown. The recommendation method proposed by the present invention is based on the following assumptions: each user has a multinomial distribution on a topic, and this polynomial distribution will control the generation of two types of topics, one type of topic affects the user's selection of products, and the other type of topic determines the user's participation in the community . Based on this assumption, the present invention compares users to documents, user topic preferences to document topics, and products selected by users and communities they join to two types of words.

[0040] In this example, if figure 2 As shown, a recommendation method considering overlapping community effects is ap...

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Abstract

The invention discloses a recommendation method considering an overlapping community effect, and the recommendation method is characterized by including the following steps of 1, obtaining a user-theme probability distribution matrix and a theme-commodity probability distribution matrix; 2, calculating the utility of the commodity for the user; and 3, according to the ranking of the utility scorefrom high to low, using the top N items to generate a recommendation list for the user and recommending the recommendation list to the user. The method can effectively solve the problem of 'cold start' and data sparsity in the existing recommendation system so as to improve the recommendation quality and provide better personalized service for the user.

Description

technical field [0001] The invention relates to the technical field of personalized recommendation, in particular to a recommendation method considering overlapping community effects. Background technique [0002] With the rapid development of the Internet, people can establish social relationships, join communities, share, forward or comment on social media such as Twitter and Facebook. At the same time, the rapid growth of user-generated content has exacerbated "information overload", and it is difficult and time-consuming for users to obtain interesting information from massive amounts of data. In order to effectively solve this problem, social media operators build recommendation systems based on user behavior data to provide users with personalized recommendations. [0003] However, the existing recommendation system regards user browsing behavior data as the only source of information, which has the problems of "cold start" and data sparseness. For example, when a ne...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/9536
CPCG06F16/9535
Inventor 姜元春姬翠翠刘业政王锦坤孙见山孙春华吕曼丽
Owner HEFEI UNIV OF TECH
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