Social relation topic model based social network friend recommendation method

A technology of topic model and social relationship, which is applied in the field of information recommendation of Internet products, can solve the problems that it is difficult to accurately dig out user topic interests on social network platforms, does not consider non-topic factors of user social relationship, and only considers text content, etc.

Inactive Publication Date: 2016-07-06
天津中科智能识别有限公司
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Problems solved by technology

Traditional topic models (such as PLSA, LDA), usually only consider the text content, but cannot deal with the user's social relationship
Even some recent topic models (Link-LDA, RTM, and RankTopic) that combine textual relationships, because they do not consider the non-topic factors in the causes of user social relationships, these methods are difficult to accurately mine social network platforms. user's topic interests

Method used

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  • Social relation topic model based social network friend recommendation method
  • Social relation topic model based social network friend recommendation method
  • Social relation topic model based social network friend recommendation method

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Embodiment Construction

[0019] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0020] The social network friend recommendation method based on the topic model of social relationship in the present invention mainly proposes a topic model of social relationship based on the topic model in text mining. User u learns a k-dimensional feature topic vector θ u , and for each topic z (a total of k topics), learn an n-dimensional keyword distribution vector ω z and an m-dimensional opinion leader distribution vector Then, based on the learned parameters above, a friend recommendation system is constructed that comprehensively considers the user's topic interests and social behavior patterns, so as to realize the user's topic interests and behavior patterns for friend recommendation.

[0021] see figure 1...

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Abstract

The invention discloses a social relation topic model based social network friend recommendation method. The method comprises the steps of obtaining a state published by a user and extracting a keyword document of the user; obtaining a network relation of the user and extracting a social relation document of the user; by utilizing a social relation topic model, according to the keyword document and the social relation document of the user, learning a topic interest of the user and a behavior mode of establishing a social relation online; and then according to the topic interest of the user and the behavior mode of establishing the social relation online, recommending potential friends for the user, and interpreting recommendation bases by taking a keyword and an opinion leader, thereby accurately mining the topic interest of the user on a social network platform and recommending the friends for the user according to the topic interest.

Description

technical field [0001] The invention relates to the technical field of information recommendation of Internet products, in particular to a social network friend recommendation method based on a social relationship topic model. Background technique [0002] With the rapid development of Internet technology and online social networks, mining users' subject interests from a large number of user-generated content (User-generated Content, UGC for short) and rich user social relationship information has gradually become an important part of online marketing technology. [0003] User-generated content generally refers to text, pictures, audio, video and other content created by users in any form published on the Internet. The present invention mainly analyzes the text status information published by users on social network platforms, such as micro Blogs, blogs and papers etc. And combine these text information with the user's social network, and comprehensively analyze the user's ...

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Application Information

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IPC IPC(8): G06F17/30G06Q50/00
CPCG06F16/9535G06Q50/01
Inventor 谭铁牛王亮吴书郭韦昱
Owner 天津中科智能识别有限公司
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