Recommendation method and apparatus based on heterogeneous information network representation

A technology of heterogeneous information network and target network, which is applied in the field of recommendation methods and devices based on heterogeneous information network representation, can solve the problems of low movie recommendation rate and low prediction and scoring accuracy.

Active Publication Date: 2018-04-20
BEIJING UNIV OF POSTS & TELECOMM
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Use the scoring matrix to predict the ratings of the movies scored by the user, and recommend the movie as the object to be recommended according to the rating prediction corresponding to the scoring. The accuracy of the score is low, resulting in a low recommendation rate for this movie

Method used

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  • Recommendation method and apparatus based on heterogeneous information network representation
  • Recommendation method and apparatus based on heterogeneous information network representation
  • Recommendation method and apparatus based on heterogeneous information network representation

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Embodiment Construction

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0065] figure 1 The first flow chart of the recommendation method based on heterogeneous information network representation provided by the embodiment of the present invention, the method includes:

[0066] S101, extracting target network node representations from a preset heterogeneous information network, where the target network nodes include users and commodities;

[0067] Among them, the heterogeneous information network G can be expressed as G={V', E}, i...

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Abstract

The embodiment of the invention provides a recommendation method and apparatus based on heterogeneous information network representation. The method includes: extracting target network node representation from a preset heterogeneous information network; acquiring target matrix decomposition according to the target network node representation and a preset matrix decomposition model; and a prediction score of a commodity by a user is obtained by using the obtained target matrix decomposition; and according to the prediction score of a commodity by the user, the user or the commodity is used as ato-be-recommended object for recommendation. Therefore, the recommendation rate is increased.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a recommendation method and device based on heterogeneous information network representation. Background technique [0002] In recent years, recommender systems have played an increasingly important role in different online services, helping users discover items of interest among vast data sources. Traditional recommendation algorithms such as matrix factorization mainly learn an effective rating prediction function to describe the interaction records between users and products, such as rating matrix. With the gradual rise of online services, various forms of auxiliary information such as entity information such as users, products, directors, and leading actors can be used in recommendation systems. Although these auxiliary information seem to contain useful information for the recommender system, it is very difficult to use and model these complex heterogeneous information ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/06
CPCG06Q10/04G06Q30/0631
Inventor 胡斌斌石川
Owner BEIJING UNIV OF POSTS & TELECOMM
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