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Received:January 22, 2008 Revised:May 05, 2008
Received:January 22, 2008 Revised:May 05, 2008
Abstract:This paper makes a comprehensive survey of the recommender system research aiming to facilitate readers to understand this field. First the research background is introduced, including commercial application demands, academic institutes, conferences and journals. After formally and informally describing the recommendation problem, a comparison study is conducted based on categorized algorithms. In addition, the commonly adopted benchmarked datasets and evaluation methods are exhibited and most difficulties and future directions are concluded.
keywords: recommender system social network information overload collaborative filtering personalization
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XU Hai-Ling,WU Xiao,LI Xiao-Dong,YAN Bao-Ping.Comparison Study of Internet Recommendation System.Journal of Software,2009,20(2):350-362
XU Hai-Ling,WU Xiao,LI Xiao-Dong,YAN Bao-Ping.Comparison Study of Internet Recommendation System.Journal of Software,2009,20(2):350-362