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Recommendation method based on heterogeneous propagation collaborative knowledge awareness network

A technology of perceptual network and recommendation method, which is applied in the field of recommendation based on heterogeneous communication and collaborative knowledge perceptual network, which can solve the problems of inefficient latent vector learning and too much noise, and achieve a good matching recommendation effect

Active Publication Date: 2020-10-02
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0006] 3. This method tends to bring more noise when constructing high-order user-item interactions, resulting in inefficient learning of latent vectors

Method used

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  • Recommendation method based on heterogeneous propagation collaborative knowledge awareness network
  • Recommendation method based on heterogeneous propagation collaborative knowledge awareness network
  • Recommendation method based on heterogeneous propagation collaborative knowledge awareness network

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Embodiment Construction

[0033] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0034] figure 1 It is a model structural diagram of the heterogeneous communication collaborative knowledge perception network in the system of the present invention. The method for recommending based on the heterogeneous communication collaborative knowledge perception network of the present invention includes the following steps:

[0035] Step 1: In the data analysis and sorting stage, divide all historical interaction data according to the ratio of 6:2:2, 60% of the data is used for modeling, 20% of the data is used for verification, and 20% of the data is used for testing Recommended effect.

[0036] Step 2: For the user, according to the historical inte...

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Abstract

The invention provides a recommendation method based on a heterogeneous propagation collaborative knowledge awareness network. The method comprises the steps: carrying out the explicit coding on collaborative signals between a user and an object through collaborative propagation, and proposing a method for associating and combining the collaborative signals and knowledge. Specifically, a heterogeneous propagation strategy is adopted to explicitly encode two kinds of information, a knowledge perception attention mechanism is applied to distinguish contributions of different knowledge-based neighbors, and a new method for combining collaborative information and knowledge information is provided.

Description

technical field [0001] The invention belongs to the technical field of personalized recommendation, and more specifically, relates to a recommendation method based on heterogeneous communication collaborative knowledge perception network. Background technique [0002] The recommendation system based on collaborative filtering usually has data sparsity and cold start problems, and the effective way to solve the above problems is to introduce auxiliary information. As a kind of knowledge auxiliary information, knowledge graph has been widely researched and applied in recommender systems. Existing knowledge graph-based recommendation methods mainly focus on how to effectively encode knowledge associations in knowledge graphs, but ignore the potential collaborative signals in user-item interaction information. [0003] The current recommendation method that combines collaborative signals and knowledge connections is to combine user-item interaction graphs and knowledge graphs t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06F16/33G06F16/36
CPCG06F16/9536G06F16/3346G06F16/367
Inventor 谭火彬林广艳王泽陈清泓刘希阳
Owner BEIHANG UNIV
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