Tripartite graph random walk recommendation method based on word2vec label similarity

A random walk and recommendation method technology, applied in the field of Internet information recommendation, can solve the problems of large differences and reduce user experience, achieve accurate and diverse recommendations, solve the problems of large differences in actual needs, and improve accuracy and diversity Effect

Pending Publication Date: 2020-04-28
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0013] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, to provide a three-part graph random walk recommendation method based on word2vec tag simil

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  • Tripartite graph random walk recommendation method based on word2vec label similarity
  • Tripartite graph random walk recommendation method based on word2vec label similarity
  • Tripartite graph random walk recommendation method based on word2vec label similarity

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[0048] The following describes the specific embodiments of the present invention to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments, for those of ordinary skill in the art, as long as various changes These changes are obvious within the spirit and scope of the present invention defined and determined by the appended claims, and all inventions and creations using the concept of the present invention are protected.

[0049] According to an embodiment of the present application, reference Figure 1-Figure 3 , The proposed method of random walk recommendation based on word2vec label similarity of three-part graph includes:

[0050] S1, ICF-based algorithm-cosRA calculates the similarity between items;

[0051] S2. Generate a recommendation list according to the similarity of the items and the user's historical behavior;

[0052] S3. Construct a user-item bipa...

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Abstract

The invention discloses a tripartite graph random walk recommendation method based on word2vec label similarity. The tripartite graph random walk recommendation method comprises the steps that S1, thesimilarity between articles is calculated based on an ICF algorithm-cosRA; S2, generating a recommendation list according to the similarity of the articles and the historical behaviors of the user; S3, constructing a user-article bipartite graph according to the target user and the recommendation list, and establishing a tripartite graph model based on introduction of label nodes into the user-article bipartite graph; S4, constructing a word2vec model, and taking the number memory vocabularies as a corpus for training the word2vec; S5, endowing the weight of the edge between the article labels in the tripartite graph; S6, random walk is carried out on the tripartite graph from the user node, after several times of random walk, the probability that each article node is accessed can converge to one number, and the access probability is the weight of the articles in the final recommendation list.

Description

technical field [0001] The invention belongs to the technical field of Internet information recommendation, and in particular relates to a three-part graph random walk recommendation method based on word2vec tag similarity. Background technique [0002] With the development of information technology and the Internet, people have gradually entered an era of information overload from an era of information scarcity. In this era, both information consumers and information producers have encountered great challenges: as an information consumer, it is very difficult to find the information they are interested in from a large amount of information; as an information producer, How to make the information produced by oneself stand out and attract the attention of the majority of users is also a very difficult thing. The recommendation system is an important tool to solve this contradiction. The task of the recommendation system is to connect users and information. On the one hand, ...

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9536
CPCG06F16/9535G06F16/9536
Inventor 何强陈润蔡彪
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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