Content pushing method and device, computer equipment and computer readable storage medium

Abstract

The invention relates to the technical field of intelligent recommendation of data analysis technologies, and provides a content pushing method and device, computer equipment and a computer readable storage medium, and the method comprises the steps: obtaining a plurality of pieces of content browsed by a user in a preset time period, classifying the plurality of pieces of content, determining a tag to which each piece of content belongs, and sending the tag to the user; the page view of each piece of content is obtained, the label value of each label is obtained through calculation according to the page views of all the contents of the same label, all the labels are displayed according to the sequence of the label values from large to small, the label selected by a user from all the displayed labels is determined, a target label is obtained, and the latest multiple pieces of to-be-recommended content are obtained. And screening out the to-be-recommended content matched with the target tag from the plurality of to-be-recommended contents to obtain the target content, and pushing the target content to the user, so as to improve the flexibility of content pushing and improve the user experience.

Description

technical field [0001] The present invention relates to the technical field of intelligent recommendation of data analysis technology, and in particular, the present invention relates to a content push method, device, computer equipment and computer-readable storage medium. Background technique [0002] With the popularization of Internet applications, it has become a common method for service providers to push various contents to users according to operational needs. In the prior art, web crawler technology is generally used to obtain user information and then push contents to the users uniformly. Therefore, almost all application programs They are collecting users’ daily browsing data for behavioral portraits. When the user’s behavioral portrait is determined, content that matches the user’s behavioral portrait will be continuously pushed, but there is a problem in this way: long-term push to users The content will be solidified, which will reduce the possibility of users ...

AI Technical Summary

Problems solved by technology

[0002] With the popularization of Internet applications, it has become a common method for service providers to push various content to users according to operational needs. The existing technology generally uses web crawler technology to obtain user information and push content to the user uniformly. Therefore, almost all applications They are all collecting users’ daily browsing data for behavioral profiling. After the user’s behavioral profiling is determined, content that matches the user’s behavioral profiling will be continuously pushed, but there will be a problem: the long-term push to the user The content will be solidified, which will reduce the possibility of users being exposed to other types of content push, and the randomness of user browsing content will be lost, and the flexibility of push will be poor, which will affect the user experience

Images