English  |  正體中文  |  简体中文  |  Items with full text/Total items : 52092/87247 (60%)
Visitors : 8920245      Online Users : 424
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92489

    Title: Prediction of members’ repurchase rates with time weight function
    Authors: Chen, Chun-Hao;Chiang, Rui-Dong;Wong, Yi-Hsin;Chu, Huan-Chen
    Contributors: 淡江大學資訊工程學系
    Keywords: CRM customer profile;Time function;Concept drift;Repurchase rate prediction
    Date: 2013-09-01
    Issue Date: 2013-10-16 15:00:09 (UTC+8)
    Publisher: Heidelberg: Springer
    Abstract: Customer relationship management (CRM) leverages historical users’ behaviors to dawn effort of enhancing customer satisfaction and loyalty. Thus, constructing a successful customer profile plays a critical role in CRM. In this study, we are expected to predict the repurchase rates for the registered members at the specific category of e-shop. However, customers’ preferences change over time. To capture the preference drifts of the members, we propose a novel and simple time function to increase/decrease the weight of the old data in evaluating various members’ past behaviors. Then, we construct a repurchase index with time factor (RIT) model to effectively predict repurchase rates. The marketers of e-shop can thus target the members with high repurchase rates. Experimental results with a real dataset have demonstrated that this RIT model can be practically implemented and provide satisfactory results.
    Relation: Soft Computing 17(9), pp.1711-1723
    DOI: 10.1007/s00500-013-0987-9
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    1432-7643_17(9)p1711-1723.pdf1869KbAdobe PDF99View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

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