Recommendation method, recommendation device and mobile terminal

Abstract

The embodiment of the invention provides a recommendation method, a recommendation device and a mobile terminal. The recommendation method comprises the steps that the item score data of users are acquired, wherein the item score data include historical score values and corresponding historical score time of the historical score values; the corresponding time weight of the historical score values is calculated according to the historical score time; a user similarity value is calculated by using the historical score values and the time weight; and the corresponding item is recommended to the target users based on the user similarity value. According to the recommendation method and the recommendation device, the item score data including the historical score values and the historical score time are acquired, the corresponding time weight of the historical score values is calculated according to the historical score time, and finally the user similarity value is calculated by using the historical score values and the time weight and the corresponding item is recommended to the target users based on the user similarity value so that the objective of recommending the item having high matching degree with the interest of the current user according to the real-time change of the user interest can be realized.

Description

technical field [0001] The present invention relates to the technical field of information matching, in particular to a recommendation method, a recommendation device and a mobile terminal. Background technique [0002] With the rapid development of the mobile Internet, the amount of push information received by mobile terminal users every day is also growing explosively. When the mobile terminal receives too much push information, it may happen that the user cannot check in time or directly misses the push information of interest. [0003] In the prior art, the mobile terminal generally achieves the purpose of sorting out the push information that the current user is interested in from a large amount of push information by means of a personalized recommendation system. The existing personalized recommendation system establishes the binary relationship between the user and the information product, uses the user's existing selection process or similarity relationship to mine...

AI Technical Summary

Problems solved by technology

[0004] In view of this, an embodiment of the present invention provides a recommendation method, a recommendation device, and a mobile terminal to solve the problem that the information pushed to the user by the existing recommendation system does not match the user's current interests.

Images