Content recommendation methods, system, related equipment and storage medium

Abstract

Embodiments of the invention provide content recommendation methods, a system, related equipment and a storage medium. One of the methods comprises the following steps: obtaining, by a social server,a chat message of multiple clients in an interaction process, sending the chat message to a content recommendation server, receiving a recommended content sent by the content recommendation server, wherein the recommended content is determined according to key information in the chat message, and sending the recommended content to at least one of the multiple clients. The recommended content can be determined based on the real-time chat message, and then accuracy and timeliness of the recommended content are improved.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to a content recommendation method, system, related equipment and storage medium. Background technique [0002] With the rapid development of various social platforms and the sharp increase in the number of users, recommending relevant content (such as advertising messages) to users through social platforms has become one of the important promotion channels. For example, users can pay attention to each subscription number on social platforms , official account, etc. Subscription accounts and official accounts will push advertising messages to users, or display advertising messages to users in the user's personal space, but subscription accounts, official accounts, etc. can only display the latest advertising messages in the chat list , and it is easy to be overwhelmed by the advertising messages pushed by other subscription accounts and official accounts, and ...

AI Technical Summary

Problems solved by technology

[0002] With the rapid development of various social platforms and the sharp increase in the number of users, recommending relevant content (such as advertising messages) to users through social platforms has become one of the important promotion channels. For example, users can pay attention to each subscription number on social platforms , official account, etc. Subscription accounts and official accounts will push advertising messages to users, or display advertising messages to users in the user's personal space, but subscription accounts, official accounts, etc. can only display the latest advertising messages in the chat list , and it is easy to be overwhelmed by the advertising messages pushed by other subscription accounts and official accounts, and the advertising information pushed to the user in the user's personal space is also easily overwhelmed by the news published by friends, etc., resulting in users being unable to view the latest information in time The recommended content is poor in timeliness, and the accuracy of the recommended content in the above advertising message recommendation method is not high

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