淡江大學機構典藏:Item 987654321/116508
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 55242/89549 (62%)
造访人次 : 10732899      在线人数 : 29
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/116508


    题名: Commodities Selection of Supermarket Email-Flyers by Recommender Systems
    作者: Wu, Shih-Jung
    关键词: Retailing;Recommender system;Collaborative filtering
    日期: 2016-07-13
    上传时间: 2019-05-07 12:10:36 (UTC+8)
    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.
    DOI: 10.1007/978-981-10-3187-8_64
    显示于类别:[資訊創新與科技學系] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML31检视/开启
    index.html0KbHTML43检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈