A social route recommender mechanism for store shopping support

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• 作者：Yung-Ming Li^a ; ^{yml@mail.nctu.edu.tw}Author Vitae ; Lien-Fa Lin^b ; ^{lienfa0704@gmail.com}Author Vitae ; Chun-Chih Ho^a ; ^{wisdom96@hotmail.com}
• 关键词：Social network analysis ; Markov chain ; Shopping context ; User preference
• 刊名：Decision Support Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：94
• 期：Complete
• 页码：97-108
• 全文大小：1211 K
• 卷排序：94

文摘

Mobile devices provides retailers with an opportunity to offer a context-aware guidance service for in-store shopping. We propose a contextual store shopping recommendation system for customers’ shopping path support. The proposed framework is developed based on extracting and analyzing shopping information and social information. The proposed model is effective in providing an appropriate shopping route and enhancing users’ shopping experience.