Information recommendation method and system

Abstract

The present invention discloses an information recommendation method and system. The information recommendation method comprises: receiving application login operation triggered by an application; judging whether login before triggering of the application is the first time login in a predetermined period of the application or not according to the application login operation; if so, initiating a recommendation acquiring request to a server according to current account information and displaying recommendation information returned by the server in an application interface, wherein the recommendation information refers to historical search results of similar users of a user with the account information; otherwise, extracting the stored recommendation information and displaying the recommendation information in the application interface. The information recommendation system comprises a login operation receiving module, a login judging module, a request initiating module and a recommendation information extraction module. By virtue of the method and the system provided by the invention, the historical search results of the similar users are actively recommended to the user with the account information, and the problems of long browsing time of the user and lower learning interest of the user are avoided.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to an information recommendation method and system. Background technique [0002] The emergence and popularization of the Internet has brought a large amount of information to users, which meets the needs of users for information in the information age. When there is a large amount of information, it is impossible to obtain the part of information that is really useful to oneself, and the efficiency of using information decreases instead. This is the so-called information overload (Information Overload) problem. [0003] In order to solve this problem, personalized recommendation came into being. Personalized recommendation is to recommend information, products, etc. that the user is interested in based on the user's information needs, interest characteristics, etc. Personalized recommendation has been widely used in many fields, for example, the most typical field with good ...

AI Technical Summary

Problems solved by technology

This process of browsing a large amount of irrelevant information will not only waste too much unnecessary time for users who are submerged in the problem of information overload, but also cannot improve the user's interest in learning, which violates the original intention of the smart tutoring machine. Leading to the continuous loss of users who consume smart tutoring machines

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