標題: A hybrid of sequential rules and collaborative filtering for product recommendation
作者: Liu, Duen-Ren
Lai, Chin-Hui
Lee, Wang-Jung
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: collaborative filtering;customer segmentation;product recommendation;sequential rule
公開日期: 2007
摘要: Customers' purchase behavior may vary over time. Traditional collaborative filtering (CF) methods make recommendations to a target customer based on the purchase behavior of customers whose preferences are similar to those of the target customer,- however, the methods do not consider how the customers' purchase behavior may vary over time. Although the sequential rule method considers the sequence of customers' purchase behavior over time, it does not make use of the target customer's purchase data for the current period. To resolve the above problems, this work proposes a novel hybrid recommendation method that combines the segmentation-based sequential rule method with the segmentation-based CF method. Experiment. results show that the hybrid method outperforms traditional CF methods. Keywords:
URI: http://hdl.handle.net/11536/7824
http://dx.doi.org/10.1109/CEC-EEE.2007.6
ISBN: 978-0-7695-2913-4
DOI: 10.1109/CEC-EEE.2007.6
期刊: 9th IEEE International Conference on E-Commerce Technology/4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services
起始頁: 211
結束頁: 217
顯示於類別:會議論文


文件中的檔案:

  1. 000250044300024.pdf