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Recommendation method and apparatus based on heterogeneous information network

A technology of heterogeneous information network and recommendation method, applied in the field of recommendation method and device based on heterogeneous information network, can solve the problem of incomplete semantic coverage of user and item similarity in meta-path analysis, etc.

Active Publication Date: 2018-01-12
GUANGZHOU HKUST FOK YING TUNG RES INST
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a recommendation method and device based on heterogeneous information networks, which can effectively solve the problem of incomplete semantic coverage of user and item similarity using meta-path analysis in the prior art, and fully consider the relationship between features to recommend useful products to users

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

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Embodiment Construction

[0042] 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 invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts all belong to the protection scope of the present invention.

[0043] see figure 2 , is a schematic flow diagram of a recommendation method based on a heterogeneous information network provided in Embodiment 1 of the present invention, including steps:

[0044] S1. Obtaining information of multiple entities to construct a heterogeneous information network, and constructing a summary diagram of the heterogeneous information network according to the types of the multiple entities; wherein, nodes in the hete...

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Abstract

The present invention discloses a recommendation method and apparatus based on the heterogeneous information network. The method is characterized in that: a schematic diagram of the heterogeneous information network is divided into a plurality of sub-diagrams, each of the sub-diagrams corresponds to a unary diagram; based on each of a plurality of user-item similarity matrices, fusion is carried out on each of the user-item similarity matrices, and a user-item scoring equation is constructed; and by optimizing the objective function, the user-item scoring equation is trained according to the known scoring sample to obtain user-item scoring equation parameters, so that scoring of the user for each item can be predicted, the item whose scoring meets the preset condition is recommended to theuser, the problem that the semantic coverage is incomplete when using the element path to analyze similarity between users and items in the prior art is solved, the relevance between features is fully considered, and useful products are recommended to the users.

Description

technical field [0001] The present invention relates to the field of data mining, in particular to a recommendation method and device based on a heterogeneous information network. Background technique [0002] With the development of modern society, the types of entities in large-scale commercial recommendation systems are becoming more and more abundant. For example, in Amazon's business system, products are divided into various categories and contain various information, such as different brands and user evaluations of products. Therefore, in real life, we need to consider the rich semantics contained in different information in recommender systems. Existing technologies usually use meta-paths in heterogeneous information networks to analyze the semantic connection between different entity types, so as to recommend useful products to users. [0003] However, the method of analyzing user-item or user-user similarity through meta-path has the problem of incomplete semantic...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 赵欢姚权铭宋阳秋李迪麟
Owner GUANGZHOU HKUST FOK YING TUNG RES INST
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