Recommendation method, recommendation device and server

Abstract

A recommendation method, comprising: acquiring the current behavior data of a user, the behavior data comprising the current behavior object information and the current behavior type information; according to the current behavior type information, determining the historical behavior data of any user corresponding to the current behavior type information, and determining, from the historical behavior data, the associated object information associated with the current behavior object information; and recommending the associated object information. Also provided is a recommendation device.

Description

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AI Technical Summary

Benefits of technology

The technology described in this patented system allows users to filter their activity into different categories or groups depending upon what they are doing well at each time. This helps them find relevant content more efficiently without repeatedly searching through irrelevant items until needed.

Problems solved by technology

This patented technical problem addressed in this patents relates to improving the efficiency and accuracy of automatically selecting or pushing assets from an internet web site (WB) without requiring manual effort during asset selection process.

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