Title: A hybrid of sequential rules and collaborative filtering for product recommendation
Authors: 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
Keywords: collaborative filtering;customer segmentation;product recommendation;sequential rule
Issue Date: 2007
Abstract: 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
ISBN: 978-0-7695-2913-4
DOI: 10.1109/CEC-EEE.2007.6
Journal: 9th IEEE International Conference on E-Commerce Technology/4th IEEE International Conference on Enterprise Computing, E-Commerce and E-Services
Begin Page: 211
End Page: 217
Appears in Collections:Conferences Paper

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