Label based user collaborative filtering content recommendation method and device

Abstract

The invention provides a label based user collaborative filtering content recommendation method. The method includes: acquiring label information of a plurality of recommendation contents to be recommended; performing clustering on the label information according to similarities among the label information to obtain a plurality of label clusters; obtaining interest vectors of a plurality of users according to the label information and the label clusters; obtaining the similarities among all the users according to the interest vectors of all the users and first browsing histories of all the users, and determining users associated with a target user according to the similarities among all the users, wherein the first browsing histories include sets of contents which are browsed by the users, and browse time of the contents in the sets; and obtaining recommendations of all the contents to be recommended corresponding to the target user according to the similarities among the target user and the users associated with the target user and the first browsing histories of the users associated with the target user, and performing content recommendation on the target user according to the recommendations. The method is high in recommendation accuracy.

Description

technical field [0001] The present invention relates to the technical field of content recommendation, in particular to a tag-based user collaborative filtering content recommendation method and device. Background technique [0002] With the rapid development of Internet technology, the information on the Internet is increasing exponentially, and the resulting information garbage is also increasing, making it difficult for users to accurately and quickly search for information that meets their requirements in the massive amount of information. information. How to quickly and accurately obtain the information they need has become an urgent need for people. The recommendation system has been widely studied and applied because of its ability to solve the problem of information overload and help users locate the information they need from a large amount of information. [0003] At present, the most commonly used recommendation technology in recommendation system is collaborati...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a tag-based user collaborative filtering content recommendation method and device to overcome the problem of inaccurate recommendation in the prior art

Images