A content recommendation method and server based on playback behavior

Abstract

Embodiments of the invention disclose a playing behavior-based content recommendation method and a server. The content recommendation method comprises the steps of determining M played objects, wherein M is a positive integer which is greater than or equal to 1; for each target object in the M played objects, calculating a recommendation index of each target object according to playing time duration of the target object; extracting at least one tag of the target object; correlating a recommendation index for at least one tag of the target object; and determining a recommendation content according to non-played objects according to the at least M weighted tags, wherein the M weighted tags are corresponding to respective target objects. The embodiments of the invention also provide the server. According to the embodiments, based on the playing time duration element of the played objects, the played objects are subdivided; the playing time duration of the target object is taken as one of the reference factors of recommendation, so that the recommendation content can better satisfy actual requirement of a user and the recommendation result is more effective, thereby improving playing amount.

Description

technical field [0001] The invention relates to the field of computers, in particular to a content recommendation method and server based on playing behavior. Background technique [0002] With the continuous advancement of computer and communication technology, obtaining information through the network has become an indispensable way in the life of users. For example, watching video programs such as movies, TV dramas, documentaries, and online courses through the Internet has become the main way for users to spend their leisure time. The main way for users to watch video content: a purposeful viewing, such as a colleague recommends a movie, the user searches through the video application, the server receives the request sent by the user, and pushes the movie according to the keyword entered by the user. The other is watching without purpose. Watch content suggested by video apps. [0003] At present, the method for recommending video content through a server is mainly to...

AI Technical Summary

Problems solved by technology

Or, if the video is played due to user misoperation, the video content will be recorded in the historical playlist. If the server recommends video content based on the historical playlist, the recommended content is not accurate

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