Jitao Zhang∗
Computer Systems Science and Engineering, Vol.34, No.4, pp. 231-236, 2019, DOI:10.32604/csse.2019.34.231
Abstract The scale of e-commerce systems is increasing and more and more products are being offered online. However, users must find their own desired products
among a large amount of unrelated information, which makes it increasingly difficult for them to make a purchase. In order to solve this problem of
information overload, and effectively assist e-commerce users to shop easily and conveniently, an e-commerce personalized recommendation system
technology has been proposed. This paper introduces the design and implementation of a personalized product recommendation model based on user
interest. The “shopping basket analysis” functional model centered on… More >
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