Commodities Selection of Supermarket Email-Flyers by Recommender Systems
學年 104
學期 2
發表日期 2016-07-13
作品名稱 Commodities Selection of Supermarket Email-Flyers by Recommender Systems
作品名稱(其他語言)
著者 Wu, Shih-Jung
作品所屬單位
出版者
會議名稱 International Conference on Frontier Computing
會議地點 Toyko, Japan
摘要 Traditional physical retail stores often attract customers by sending email-flyers (or promotional electronic Direct Mail, DM). However, most customers will treat electronic DM as junk mail if it includes too many types of commodities or is sent too frequently. To avoid this problem, we propose a recommendation algorithm to select a small and fixed number of commodities for preparing customized electronic DM suitable for a well-known Taiwanese supermarket. Our method first selects a small and fixed number of commodity types that customers will most likely purchase; then, at product level, the method selects one commodity of each commodity type to promotion. Considering the habits of customers have already purchased commodities will buy again, when the recommendation success rate for recommending commodity types (or commodities) reached a certain value, we could replace some commodity types (or commodities) those the customers had already purchased in the last month. Compared to two item-based collaborative filtering approaches, Cosine and Bigram, the experimental results show that our approach has higher recommendation success rate and then increases the possibility of customers back to physical retail stores to purchase.
關鍵字 Retailing;Recommender system;Collaborative filtering
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20160713~20160715
通訊作者 Wu, Shih-Jung
國別 CHE
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116508 )