文章基本信息

标题：Which Products Would You Like to See? User preferences for top-N e-commerce products recommendation in different shopping moments
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作者：Alexander Robert Kutzke ; Jaime Wojciechowski ; Rafaela Mantovani Fontana 等
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2018
卷号：7
期号：4
页码：190-197
出版社：International Journal of Computer and Information Technology
摘要：Recommendation systems are essential tools in ecommerce web sites to help users find the items that might interest them. Although much research has shown the best algorithmic solutions, few studies rely on real products databases and users’ perceptions. This study objective is, thus, to identify what are Internet shoppers preferences for Top-N products recommendation regarding the shopping steps. We have built different algorithmic solutions and presented users in the context of two different moments in the shopping process. Through a survey, 202 users evaluated the presented items and the collected data was compared using statistical and qualitative data analysis. Our results have shown that users prefer different types of recommendations in different shopping moments. This evidence generates opportunity to further research and useful data for web retailers.
关键词：recommendation; e;commerce; user perception; content;based; collaborative;filtering