Method for pushing recommendation based on user historic behavior interaction analysis
A technology of recommendation push and interactive analysis, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem that the data platform cannot provide users with accurate and customized personalized information service needs
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[0032] In this embodiment, a recommendation push method based on user historical behavior interaction analysis is characterized in that it includes the following steps:
[0033] S1. Preset the user's behavior and favorite items, and assign weights to the behavior and items; the preset actions include comment, reply, view the details page, search, favorite, cancel favorite, like, cancel like, follow, Unfollow, share, etc. These actions can be added as needed. The items are analyzed from the data corresponding to the actions. Items include entertainment, beauty, cars, digital, technology, social, life, mobile phones, etc. These are also set according to needs.
[0034] S2. Real-time collection of user behavior record information, classified and stored; the specific process of classification includes:
[0035] S21. Detect the user's operation in real time, and judge the action corresponding to the operation according to the preset action;
[0036] S22. Obtain the data of the op...
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