Short video recommendation method based on graph model, intelligent terminal and storage medium

Abstract

The invention discloses a short video recommendation method based on a graph model, an intelligent terminal and a storage medium, and the method comprises the steps: constructing a bipartite graph ofa corresponding relation between a user and a short video according to the interaction behavior of the user for the short video; the aggregation layer outputs a high-order representation vector of thetarget vertex by aggregating neighborhood information of the target vertex; the integration layer integrates the target node information and the neighborhood information; the fusion layer fuses the multiple pieces of modal information of the target vertex; and the output layer calculates the similarity between the user vector and the short video vector, predicts the probability that the user interacts with the short video, and recommends the short video to the user. According to the method, the bipartite graph and the corresponding graph convolution network are constructed for different modesof the short video respectively, vector representation of the user and the vertex of the short video in different modes is learned, and the purpose of fine-grained personalized recommendation for theuser is achieved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a graphical model-based short video recommendation method, an intelligent terminal and a storage medium. Background technique [0002] In the context of the information age, facing the increasing amount of Internet information, personalized recommendation serves as a bridge connecting service providers and users, enabling enterprises to effectively mine useful information from massive information and make use of it, and to discover users' interests Preferences, improve user experience, increase user stickiness, and then increase revenue; and for users, it allows them to quickly find the target they are interested in in the massive information database of the platform. Personalized recommendations have become a core component of many online content sharing services, such as picture, blog and music recommendations. For example, the recent rise of short video...

AI Technical Summary

Problems solved by technology

[0009] The present invention aims at learning representations of users and short videos from the modality level in the prior art, and cannot measure the impact of modality differences on user preferences. The present invention provides a short video recommendation method based on a graph model, an intelligent terminal and storage medium

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