Method and system for initiatively recommending product information service
A product information and active technology, applied in the field of service recommendation, can solve the problems of lack of intelligence and active self-adaptive functions, and achieve the effect of humanizing service and increasing stickiness
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Embodiment 1
[0032] Flowchart such as figure 1 A method for proactively recommending product information services shown mainly includes steps:
[0033] S1. Extract the attribute characteristics of each user according to the historical data of all users; in this embodiment, this step is specifically:
[0034] First, through implicit and explicit data acquisition methods, the dynamic and static data of each user is collected, and stored in the database of the personal computer to form historical data; historical data includes user registration information, historical input information, browsing behavior information , purchase behavior information and scoring information, etc.; secondly, preprocessing such as data conversion and normalization on historical data to adapt to subsequent analysis; finally, using data mining algorithms to adopt the same standard data information for different users, from preprocessing Analyze and extract the comprehensive attribute characteristics of each user fr...
Embodiment 2
[0044] Structure diagram such as figure 2 A system for proactively recommending product information services shown in , includes a sequentially connected data acquisition module, data processing module, similarity analysis module, and recommendation module; wherein, the main functions of each module are as follows:
[0045] The acquisition module collects the dynamic and static data of each user through implicit and explicit data acquisition methods, and stores them in the database of the personal computer to form historical data; historical data includes user registration information, historical input information, and browsing behavior information , purchase behavior information and rating information, etc.;
[0046] The data processing module first performs preprocessing such as data conversion and normalization on all the user historical data collected by the data acquisition module, and then uses the data mining algorithm to extract the attribute characteristics of each u...
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