Recommendation method for personalized information

Abstract

The invention discloses a recommendation method for personalized information. The recommendation method for the personalized information comprises the steps of deciding what kind of algorithm should be adopted to generate a recommendation for the information according to the publishing time of the information; adopting a mixed recommendation algorithm of a recommendation based on content and a collaborative filtering recommendation based on a user when the interval between the browsing time and the current time is no bigger than a certain value; otherwise, directly adopting a collaborative filtering algorithm based on the user. According to the recommendation method for the personalized information, the characteristics of the information and the user can be accurately dug and described through the recommendation based on the content, and as for information, a special recommendation object, higher accuracy can be obtained through the recommendation based on the content; the information has timeliness and a hot property, the recommendation based on the content is free of a cold boot problem of new information and is free of influence of the hot degree of the information at the same time, and instead, the news content is directly dug; due to the fact that the interest of a user quickly changes along with the change of time, a more comprehensive recommendation result can be obtained by combining a result of the collaborative filtering recommendation based on the user.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a personalized message recommendation method. Background technique [0002] With the rapid development of network technology, Internet thinking has permeated all aspects of life. The world is so big, all kinds of things happen every day, and the huge amount of information brought along with it is beyond imagination. Facing the current situation of information overload, how to enable users to read the information they need in an efficient and fast way is very important. Personalized message recommendation service is to analyze and predict the changes of users’ interests and preferences and operation behavior when they usually browse news, and finally recommend useful news information to users, so that users do not need to do a lot of useless work. Personalized message recommendation technology is one of the extended applications in the field of personalized reco...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a personalized message recommendation method, which aims to solve the problem that the existing message recommendation method is usually insufficient to describe the text message, and it is difficult to reflect the integrity of the content; it is impossible to mine the user's true attitude towards the recommended content; Only news with similar content can be recommended for users; the click-through rate of new news is low, and the problem of being unable to get recommendations

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