A Survey on Product Recommendation System in E-Commerce
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 439
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شناسه ملی سند علمی:
JR_IJOCIT-2-4_008
تاریخ نمایه سازی: 16 فروردین 1395
چکیده مقاله:
Due to the uncontrolled growth of communication networks, Increase the information and overhead of communication in this communication networks has become a major challenge that online access to information has become a problem for most users. E-Commerce users and online stores customer's problem also is to find their products from among very much similar products in the store. So get advice about products and services that correspond to the needs and preferences of customers, to save time in finding the desired product and reduce information overhead, it would be desirable for customers Ecommerce. In order to, Product Recommendations System (PRS) by providing recommended to buy the product to customers in e-commerce, is trying to solve this problem and reduce the overhead of network communication. In this paper, several PRSs in e-commerce are investigat
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نویسندگان
Yahya Dorostkar Navaei
MSc, Department of Electrical, Computer & IT, Zanjan Branch, Islamic Azad University,
Mehdi Afzali
Associate Professor in Department of Electrical , Computer & IT, Zanjan Branch, Islamic Azad University, Zanjan, Iran