Influence Factors of Service-Oriented Recommender Systems

被引:0
作者
Weng, Ling-Chao [1 ]
Hsu, Jack Shih-Chieh [1 ]
Huang, Hsieh-Hong [2 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Management Informat Syst, Kaohsiung 80424, Taiwan
[2] Diwan Univ, Dept Informat Management, Tainan, Taiwan
来源
2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2 | 2009年
关键词
recommender systems; service-oriented; information recommendation; e-commerce;
D O I
10.1109/NISS.2009.226
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recommender system plays an important role in current electronic or mobile commerce. Powered by information technology, it provides information elements that are likely of interest to customers. Benefits of recommender systems include reduced searching time and improved sales volume. Different from other studies which focus on algorithms and performance measuring, we aim at understanding the current status of and factors that influence the development and acceptance of service-oriented recommender systems. Two types of key factors include common and domain specified factors, were identified. Implications toward academic and practitioners were provided as well.
引用
收藏
页码:1221 / +
页数:2
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