Trust- and Distrust-Based Recommendations for Controversial Reviews

被引:67
作者
Victor, Patricia [1 ]
Cornelis, Chris [1 ]
De Cock, Martine [2 ]
Teredesai, Ankur M. [2 ]
机构
[1] Univ Ghent, Ghent, Belgium
[2] Univ Washington, Inst Technol, Tacoma, WA USA
关键词
distrust; Epinions.com; Intelligent systems; recommender system; trust network;
D O I
10.1109/MIS.2011.22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
By comparing and extending several well-known trust-enhanced techniques for recommending controversial reviews from Epinions.com, the authors provide the first experimental study of using distrust in the recommendation process. © 2011 IEEE.
引用
收藏
页码:48 / 54
页数:7
相关论文
共 16 条
[1]   Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions [J].
Adomavicius, G ;
Tuzhilin, A .
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2005, 17 (06) :734-749
[2]  
[Anonymous], 2005, Computing applying trust in web-based social networks, DOI DOI 10.1016/j.physa.2012.03.021
[3]  
[Anonymous], 2005, P 10 INT C INT US IN, DOI DOI 10.1145/1040830.1040870
[4]  
[Anonymous], P 2 DELOS NETW EXC W
[5]  
[Anonymous], 2004, Proceedings of the 13th International Conference on World Wide Web, DOI DOI 10.1145/988672.988727
[6]  
Ghose A., 2007, Proceedings of the 2007 International Conference for Electronic Commerce, P303
[7]   Evaluating collaborative filtering recommender systems [J].
Herlocker, JL ;
Konstan, JA ;
Terveen, K ;
Riedl, JT .
ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2004, 22 (01) :5-53
[8]  
Hogg T., 2008, Proc. of the AAAI Symposium on Social Information Processing, P30
[9]  
Josang A, 2006, LECT NOTES COMPUT SC, V3986, P179
[10]  
KUNEGIS J, 2009, JP 18 INT WORLD WID, P741