E-commerce recommendation system based on user interest change
An e-commerce and recommendation system technology, applied in the field of e-commerce recommendation system based on changes in user interests, can solve problems such as limited energy and knowledge of consumers, difficulty in quickly finding products, etc., and achieve the effect of accurate hobbies and improved accuracy
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[0014] The present invention is further described in conjunction with the following examples.
[0015] see figure 1 , an e-commerce recommendation system based on user interest changes, the system includes a modeling module 1 , a recommendation generation module 2 and a user terminal 3 .
[0016] The modeling module 1 is used to obtain user data from the server of the e-commerce website, and construct a user-commodity rating matrix U and a user-rating time matrix R according to the acquired user data.
[0017] The recommendation generation module 2 is used to generate a product recommendation list according to the user-product rating matrix U and the user-rating time matrix R, and push the product recommendation list to the user terminal 3 .
[0018] The user terminal 3 is used to receive a product recommendation list.
[0019] Preferably, the user terminal 3 is a smart phone or a tablet computer.
[0020] As a preference, the user-product rating matrix U=(u ij ) m×n , th...
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