User film watching information prediction method and device, equipment and storage medium

Abstract

The invention discloses a user film-watching information prediction method and device, equipment and a storage medium, and the method comprises the steps: obtaining a dimension value corresponding to a preset user film-watching evaluation dimension of each day within a preset number of days, and determining a preset time attenuation weight factor and a preset holiday weight factor corresponding to the preset user film-watching evaluation dimension; according to the obtained dimension values and weight factors, view evaluation indexes corresponding to different time periods in the preset number of days are determined; inputting the film watching evaluation indexes corresponding to different time periods into a pre-trained full-connection neural network to obtain a film watching score corresponding to a preset number of days; and predicting a film watching probability and a loss probability of the user according to the film watching score. According to the method, the user loss probability can be accurately reflected through the user film watching probability, then different user groups are accurately classified based on the user loss probability, and guidance and basis are provided for user retention and activity promotion through a refined and targeted marketing strategy.

Description

technical field [0001] The present invention relates to the technical field of data analysis and machine learning, and in particular, to a method, device, device and storage medium for predicting user viewing information. Background technique [0002] Users are the foundation of Internet companies, and how to retain and activate users is of great value and significance to Internet operations. User retention is to avoid user churn, and user retention refers to keeping users from a positive perspective to avoid user churn. User promotion refers to the promotion of user activity, which is an indispensable step for the Internet to achieve a certain stability and after user retention. [0003] In order to avoid user loss, operators usually need to group and classify user groups, and formulate corresponding user maintenance and operation strategies based on the classification results to achieve user retention and activation. At present, the subjective judgment of operators is ma...

AI Technical Summary

Problems solved by technology

[0004] The embodiments of the present invention provide a user viewing information prediction method, device, equipment, and storage medium, aiming to solve the technical problem that the accuracy of user group classification is not high due to the subjective judgment of operators to classify user groups

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