標題: A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship
作者: Li, Yung-Ming
Wu, Chun-Te
Lai, Cheng-Yang
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: E-commerce;Social recommender systems;Preference similarity;Trust;Social relation;Analytic hierarchy process
公開日期: 1-Jun-2013
摘要: Online business transactions and the success of e-commerce depend greatly on the effective design of a product recommender mechanism. This study proposes a social recommender system that can generate personalized product recommendations based on preference similarity, recommendation trust, and social relations. Compared with traditional collaborative filtering approaches, the advantage of the proposed mechanism is its comprehensive consideration of recommendation sources. Accordingly, our experimental results show that the proposed model outperforms other benchmark methodologies in terms of recommendation accuracy. The proposed framework can also be effectively applied to e-commerce retailers to promote their products and services. (C) 2013 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.dss.2013.02.009
http://hdl.handle.net/11536/22331
ISSN: 0167-9236
DOI: 10.1016/j.dss.2013.02.009
期刊: DECISION SUPPORT SYSTEMS
Volume: 55
Issue: 3
起始頁: 740
結束頁: 752
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