Video recommendation method and device, equipment and storage medium

Abstract

The invention discloses a video recommendation method and device, equipment and a storage medium, and relates to the field of data processing, in particular to the technical field of big data. According to the specific implementation scheme, a target video partition set matched with a target user is obtained according to a video recommendation request of the target user, and videos in all video partitions are determined by video operation behaviors of the target user; a set number of alternative recommended videos are acquired from each video partition in the target video partition set to forman alternative recommended video set; and duplicate removal is performed on the alternative recommended video set according to the display and / or time factors to obtain a target recommended video set, and videos are recommended to the target user according to the target recommended video set. According to the method, different video partition sets are maintained for different users according to the video operation behaviors of the users, and the recommended videos are determined from the video partition sets of the users, so that personalized video contents can be simply and conveniently recommended to the users.

Description

Technical field [0001] The embodiments of the present application relate to the field of data processing, in particular to the field of big data technology, and in particular to a video recommendation method, device, device, and storage medium. Background technique [0002] With the continuous development of Internet short video technology, more and more users are watching short videos. [0003] The current short video recommendation technology requires a recommendation model to be established in advance, and the recommendation model needs to collect data and train before it goes online, so a long development cycle is required. At the same time, the recommendation technology based on the recommendation model is mainly suitable for scenarios where the number of users and resources are relatively sufficient, and when the number of resources and the number of users included in the video platform is small, it is difficult to establish a complete recommendation model, and the above vide...

AI Technical Summary

Problems solved by technology

[0003] The current short video recommendation technology needs to build a recommendation model in advance, and the recommendation model needs to collect data and train before going online, so it requires a long development cycle

At the same time, the recommendation technology based on the recommendation model is mainly suitable for scenarios where the number of users and resources are relatively sufficient. However, when the number of resources and users included in the video platform are small, it is difficult to establish a complete recommendation model, and the above-mentioned video recommendation technology cannot be used.

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