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  • 标题:E Commerce Platform Recommendation System
  • 本地全文:下载
  • 作者:Mohini Jaiswal ; Aishwarya Jakate ; Harshal Pawar
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:5
  • 页码:477-479
  • DOI:10.35629/5252-0305289291
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:The sale and purchase of goods are now starting to move from being offline to online using the internet, or what is known as ecommerce. With the development of the internet and intelligent computing technology, e-commerce is increasingly being used. The product offered by e-commerce platforms is a matter that needs to be considered because it can influence the user’s decision in buying a product .This study aims to build itemized collaborative recommendation system for products on an e-commerce website according to the user’s needs .There are several methods that can be used to recommend a particular product, one is based on popularity and the other is purchase history based .Thus, the product recommendations are expected to be in accordance with the user’s interest which suits the usre’s need .Based on the case studies conducted, the results of recommendations provided with this approach not only provide recommendation for specific products but also consume less time and energy of the users. Thus, the recommendation will be more varied and are expected to be more in line with the user interests.
  • 关键词:Recommendation system;itemize collaborative;popularity based;purchase history
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