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Graph neural network recommendation system, method and device, electronic equipment and storage medium

A neural network and recommendation system technology, applied in the field of graph neural network recommendation systems

Pending Publication Date: 2021-08-10
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present disclosure provides a graph neural network recommendation system, method, device, electronic equipment and storage medium to at least solve the problem of how to make recommendations based on heterogeneous graphs in related technologies

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  • Graph neural network recommendation system, method and device, electronic equipment and storage medium
  • Graph neural network recommendation system, method and device, electronic equipment and storage medium
  • Graph neural network recommendation system, method and device, electronic equipment and storage medium

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Embodiment Construction

[0048] In order to enable ordinary persons in the art to better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the accompanying drawings.

[0049] It should be noted that the terms "first" and "second" in the specification and claims of the present disclosure and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consi...

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Abstract

The invention relates to a graph neural network recommendation system, method and device, electronic equipment and a storage medium. The graph neural network recommendation system comprises: a heterogeneous graph memory used for storing a heterogeneous graph, wherein the heterogeneous graph is used for recording an association relationship between the user and the video; the model memory that is used for storing a graph neural network model; the model trainer that is used for acquiring a target heterogeneous graph corresponding to the sample data from the heterogeneous graph memory and acquiring a graph neural network model corresponding to the target heterogeneous graph from the model memory, wherein the sample data is used for recording information of predetermined sample users or sample videos. The model trainer is used for training the graph neural network model by adopting the target heterogeneous graph to obtain a graph neural network recommendation model, and storing the graph neural network recommendation model to the model memory, wherein the graph neural network recommendation model is used for recommending users or videos. Therefore, through the graph neural network recommendation system, the problem of recommendation according to the heterogeneous graph can be solved.

Description

technical field [0001] The present disclosure relates to the technical field of graph neural network, and in particular to a graph neural network recommendation system, method, device, electronic equipment, and storage medium. Background technique [0002] With the continuous development of Internet technology, a large amount of data available for analysis has emerged, and these data form a dynamic relationship diagram. Analyzing and researching heterogeneous graphs in ever-changing dynamic graphs can provide better recommendation results. [0003] However, how to recommend a large number of heterogeneous graphs is an urgent problem to be solved. Contents of the invention [0004] The present disclosure provides a graph neural network recommendation system, method, device, electronic equipment, and storage medium to at least solve the problem of how to make recommendations based on heterogeneous graphs in related technologies. The disclosed technical scheme is as follows...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/735G06F16/9535G06N3/04
CPCG06F16/735G06F16/9535G06N3/04
Inventor 刘燚任恺
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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