完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Liu, DR | en_US |
dc.contributor.author | Shih, YY | en_US |
dc.date.accessioned | 2014-12-08T15:18:40Z | - |
dc.date.available | 2014-12-08T15:18:40Z | - |
dc.date.issued | 2005-08-01 | en_US |
dc.identifier.issn | 0164-1212 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1016/j.jss.2004.08.031 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/13415 | - |
dc.description.abstract | Recommending products to attract customers and meet their needs is important in fiercely competitive environments. Recommender systems have emerged in e-commerce applications to Support the recommendation of products. Recently, a weighted RFM-based method (WRFM-based method) has been proposed to provide recommendations based on customer lifetime value, including Recency, Frequency and Monetary. Preference-based collaborative filtering (CF) typically makes recommendations based on the similarities of customer preferences. This study proposes two hybrid methods that exploit the merits of the WRFM-based method and the preference-based CF method to improve the quality of recommendations. Experiments are conducted to evaluate the quality of recommendations provided by the proposed methods, using a data set concerning the hardware retail marketing. The experimental results indicate that the proposed hybrid methods outperform the WRFM-based method and the preference-based CF method. (c) 2004 Elsevier Inc. All rights reserved. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | recommender system | en_US |
dc.subject | data mining | en_US |
dc.subject | product recommendation | en_US |
dc.subject | customer lifetime value (CLV) | en_US |
dc.subject | collaborative filtering | en_US |
dc.title | Hybrid approaches to product recommendation based on customer lifetime value and purchase preferences | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.jss.2004.08.031 | en_US |
dc.identifier.journal | JOURNAL OF SYSTEMS AND SOFTWARE | en_US |
dc.citation.volume | 77 | en_US |
dc.citation.issue | 2 | en_US |
dc.citation.spage | 181 | en_US |
dc.citation.epage | 191 | en_US |
dc.contributor.department | 資訊管理與財務金融系 註:原資管所+財金所 | zh_TW |
dc.contributor.department | Department of Information Management and Finance | en_US |
dc.identifier.wosnumber | WOS:000229489000009 | - |
dc.citation.woscount | 40 | - |
顯示於類別: | 期刊論文 |