Meta-path-based network embedded movie recommendation method

A recommendation method and meta-path technology, applied in the field of computer networks, can solve problems such as loss of semantic information, and achieve the effect of improving accuracy

Pending Publication Date: 2020-06-19
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since heterogeneous information networks contain complex semantics, methods using meta-path-based similarity metrics will lose part of the semantic information

Method used

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  • Meta-path-based network embedded movie recommendation method
  • Meta-path-based network embedded movie recommendation method
  • Meta-path-based network embedded movie recommendation method

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0023] figure 1 It is a flow chart of the movie recommendation method based on the meta-path network embedding of the present invention, the method includes but is not limited to the following steps:

[0024] S1. Acquire video data, and extract information including users and movies, including user viewing records, user rating records, movie directors, cast members, and movie genres;

[0025] S2. Construct a heterogeneous information network using user and mo...

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Abstract

The invention relates to the technical field of recommendation, in particular to a meta-path-based network embedded movie recommendation method, which comprises the following steps of: obtaining information of a user and a movie; constructing the information of the user and the movie into a heterogeneous information network; obtaining a node sequence of each node by using random walk based on a meta-path; learning the sequence of each node through a skip-gram model to obtain network embedding vectors under different meta-paths; fusing the embedded vectors of the user and the movie to obtain afused embedded vector, fusing the fused embedded vector into the scoring preference, and calculating scores of the user for the movie possibly interested in; and recommending the similar users and movies to the users according to the scores. According to the invention, users and movies can be connected through a heterogeneous information network, and more information between more users and moviescan be obtained through meta-path-based network embedded representation, so that the recommendation accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to a meta-path-based network-embedded movie recommendation method. Background technique [0002] In recent years, recommender systems have played an increasingly important role in various Internet products, as it can help users discover items of interest (such as movies, commodities, etc.) in a huge database. The recommendation system is used to mine the user's historical behavior, and establish respective feature matrices according to the characteristics of users and products. Traditional recommendation methods (such as collaborative filtering) mainly use neighbor users (or neighbor items) with large similarities to predict the ratings of target user candidate items. A common practice is to first construct a user-product rating matrix, then calculate the similarity to determine the neighbor set, and finally predict the rating to generate a recommendation list. But with ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/9538G06F16/71G06F16/78G06F16/735G06K9/62
CPCG06F16/9535G06F16/9538G06F16/71G06F16/78G06F16/735G06F18/253
Inventor 唐宏陈虹羽郭可可赖雪梅
Owner CHONGQING UNIV OF POSTS & TELECOMM
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