User preference prediction method, terminal and storage medium

Abstract

The invention provides a user preference prediction method, a terminal and a storage medium, and the method comprises the steps: constructing an explicit scoring matrix and an implicit scoring matrix according to historical interaction data of m users and n items, the explicit scoring matrix being used for representing explicit scores of the m users for the n items, and the implicit scoring matrix being used for representing implicit scores of the m users for the n items; the implicit scoring matrix is used for representing implicit scores of m users on n items, and the explicit scoring matrix and the implicit scoring matrix are matrixes with m rows and n columns; the explicit scoring matrix and the implicit scoring matrix are input into a preset matrix decomposition and deep neural network joint prediction model, a prediction result is obtained, and for each user in the m users, the prediction result comprises the value of the preference degree of the user for each item in the n items. According to the invention, the prediction precision of user preferences can be improved.

Description

technical field [0001] The present invention relates to the technical field of deep learning, in particular to a user preference prediction method, a terminal and a storage medium. Background technique [0002] In recent years, the rapid development of the social network media industry and the e-commerce industry has greatly increased the number of Internet users participating. Facing the massive multi-source heterogeneous data generated when users browse the Internet, how to accurately and effectively process it to improve recommendation accuracy and user satisfaction is still a research hotspot in personalized recommendation services. [0003] However, the existing prediction methods have low prediction accuracy and low user satisfaction. Contents of the invention [0004] In view of this, the present invention provides a user preference prediction method, a terminal and a storage medium, which can solve the problem of low prediction accuracy of user preference. [000...

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Problems solved by technology

[0004] In view of this, the present invention provides a user preference prediction method, a terminal and a storage medium, which can solve the problem of low prediction accuracy of user preference

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