An information recommendation method, system and device

Abstract

The embodiment of the invention discloses an information recommendation method, system and device. A client side in the terminal sends information to client sides of other applications; all recommendation information lists returned by the client sides of the other applications are received; whether the current time is in the recommendation time period or not is judged; if yes, according to each group of recommendation information recorded in the recommendation information lists and the recommendation time period corresponding to the group of recommendation information, the group of recommendation information corresponding to the recommendation time period is displayed to the user, wherein the recommendation information lists are obtained through statistics of operations carried by the user on the other applications. Due to the fact that one application in the terminal recommends information to the user according to the recommendation information lists sent by the other applications, and the recommendation information lists are obtained through statistics of operations carried by the user on the other applications, requirements of the user can be accurately obtained, the purpose of accurately recommending information to the user s achieved, and user experience is improved.

Description

technical field [0001] The present invention relates to the field of Internet technologies, and in particular, to an information recommendation method, system and device. Background technique [0002] With the rapid development of Internet technology, personalized information recommendation has become one of the indispensable network services in people's online life, and it has also become a focus of the future development of Internet products. [0003] At present, the existing personalized recommendation solutions mainly include: the user sets their own interests or favorite information as likes or interests, and the system obtains the corresponding recommendation information according to the type of like or interested information set by the user, and Recommended to users. [0004] However, in the above solution, the user himself sets the type of information he likes or is interested in, which depends on the user's own operation, which increases the complexity of the user'...

AI Technical Summary

Problems solved by technology

[0004] However, in the above solution, the user sets the type of information he likes or is interested in, which depends on the user's own operation, which increases the complexity of the user's use and the whole process is cumbersome. In addition, due to the limited time set by some users, it may not be possible After completing the information setting, at this time, information recommendation can only be made to specific users based on the preferences of most users, resulting in low accuracy of information recommendation results and poor user experience

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