Short video recommendation method

A recommendation method, short video technology, applied in neural learning methods, instruments, data processing applications, etc., to achieve the effect of strong representation ability

Active Publication Date: 2021-06-11
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to solve the existing problems, the present invention provides a short video recommendation method

Method used

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Embodiment Construction

[0046] In order to make the technical problems, technical solutions and beneficial effects to be solved by the embodiments of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0047] It should be noted that when an element is referred to as being "fixed to" or "disposed on" another element, it can be directly on the other element or indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element. In addition, the connection can be used for both fixing function and circuit communication function.

[0048] It is to be understood that the terms "length", "width", "top", "bottom", "...

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Abstract

The invention provides a short video recommendation method, which comprises the following steps of: constructing a multi-source heterogeneous graph, and extracting data features from data of different modalities; constructing a hierarchical graph neural network model, and inputting the data features into the hierarchical graph neural network model for training; and using the trained hierarchical graph neural network model to recommend a short video to a target user. By combining data features extracted in different modes, a social network is comprehensively considered to construct a multi-source heterogeneous graph; the hierarchical graph neural network model constructed on the basis of the heterogeneous graph can capture different connection relationships in the user, the short video and the tag and association relationships among the connection relationships, the customized graph neural network can learn high-level feature representation of the short video and the user, the representation capability is higher, and short video recommendation is facilitated.

Description

technical field [0001] The invention relates to the technical field of video recommendation, in particular to a short video recommendation method. Background technique [0002] With the increasing amount of information in the Internet, recommender systems have become an effective strategy to overcome information overload. Recommendation systems are widely used in many web applications to help users easily find items of interest (commodities and information, etc.) in the information overload of the Internet age, thereby alleviating the problem of excessive user selection. The main idea of ​​a recommender system is to establish a relationship between items and users, and generate a list of the most suitable items for a specific user. Its purpose is to make full use of different information sources to provide users with accurate item predictions and recommendations. [0003] At the same time, machine learning technology based on graph structure, as an emerging technology, sho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06F16/435G06F16/45G06K9/62G06N3/04G06N3/08G06Q50/00
CPCG06F16/9536G06F16/435G06F16/45G06N3/08G06Q50/01G06N3/045G06F18/2135
Inventor 肖喜吴偌灏夏树涛毛科龙江勇王兴军
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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