Method for recommending personalized information
An information recommendation and user technology, applied in the field of wireless Internet, can solve the problems of unable to provide different users, unable to analyze user preferences, unable to locate and analyze user historical behavior, etc., to achieve the effect of saving retrieval time
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[0036] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific implementation methods.
[0037] The personalized recommendation engine consists of three parts: a behavior record module that collects user information, a model analysis module that analyzes user preferences, and a recommendation algorithm module. The behavior recording module is responsible for recording user preferences, such as browsing, downloading, subscribing, Q&A, scoring, purchasing, etc. The Q&A and scoring information is relatively easy to collect, but many users are unwilling to provide this information to the system, so they need to pass Other ways to analyze user behavior, such as browsing, downloading, purchasing, subscribing, etc. Through the behavior records of these users, analyze the users' potential preference products and preferences, which is what the model analysis module is supposed to do. The functi...
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