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Issue No.01 - January/February (2011 vol.26)
pp: 48-55
Chris Cornelis , Ghent University, Belgium
Martine De Cock , University of Washington, Tacoma
Ankur M. Teredesai , University of Washington, Tacoma
ABSTRACT
<p>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.</p>
INDEX TERMS
Intelligent systems, recommender system, trust network, distrust, Epinions.com
CITATION
Chris Cornelis, Martine De Cock, Ankur M. Teredesai, "Trust- and Distrust-Based Recommendations for Controversial Reviews", IEEE Intelligent Systems, vol.26, no. 1, pp. 48-55, January/February 2011, doi:10.1109/MIS.2011.22
REFERENCES
1. A. Ghose and P. Ipeirotis, "Designing Novel Review Ranking Systems: Predicting the Usefulness and Impact of Reviews," Proc. 9th Int'l Conf. Electronic Commerce, ACM Press, 2007, pp. 303–310.
2. Y. Liu et al., "Modeling and Predicting the Helpfulness of Online Reviews," Proc. 8th IEEE Int'l Conf. Data Mining, IEEE CS Press, 2008, pp. 443–452.
3. J.A. Golbeck, "Computing and Applying Trust in Web-Based Social Networks," doctoral thesis, Univ. of Maryland, College Park, 2005.
4. P. Massa and P. Avesani, "Trust Metrics in Recommender Systems," Computing with Social Trust, J. Golbeck, ed., Springer, 2009, pp. 259–285.
5. J. O'Donovan and B. Smyth, "Trust in Recommender Systems," Proc. 10th Int'l Conf. Intelligent User Interfaces, ACM Press, 2005, pp. 167–174.
6. G. Adomavicius and A. Tuzhilin, "Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 6, 2005, pp. 734–749.
7. P. Resnick et al., "Grouplens: An Open Architecture for Collaborative Filtering of Netnews," Proc. 1994 ACM Conf. Computer Supported Cooperative Work, ACM Press, 1994, pp. 175–186.
8. R. Sinha and K. Swearingen, "Comparing Recommendations Made by Online Systems and Friends," Proc. 2nd DELOS Network of Excellence Workshop on Personalisation and Recommender Systems in Digital Libraries, European Research Consortium for Informatics and Mathematics (ERCIM), 2001.
9. P. Victor et al., "Gradual Trust and Distrust in Recommender Systems," Fuzzy Sets and Systems, vol. 160, no. 10, 2009, pp. 1367–1382.
10. T. Hogg et al., "Multiple Relationship Types in Online Communities and Social Networks," Proc. 2008 Spring Symp. Social Information Processing, AAAI Press, 2008, pp. 30–35.
11. J. Kunegis, A. Lommatzsch, and C. Bauckhage, "The Slashdot Zoo: Mining a Social Network with Negative Edges," Proc. 18th Int'l World Wide Web Conf., ACM Press, 2009, pp. 741–750.
12. R. Guha et al., "Propagation of Trust and Distrust," Proc. 13th Int'l Conf. World Wide Web, ACM Press, 2004, pp. 403–412.
13. C. Ziegler and G. Lausen, "Propagation Models for Trust and Distrust in Social Networks," Information System Frontiers, vol. 7, nos. 4–5, 2005, pp. 337–358.
14. P. Victor et al., "A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items," Proc. 3rd Int'l Conf. Weblogs and Social Media, AAAI Press, 2009, pp. 342–345.
15. J. Herlocker et al., "Evaluating Collaborative Filtering Recommender Systems," ACM Trans. Information Systems (TOIS), vol. 22, no. 1, 2004, pp. 5–53.
16. A. J⊘sang, S. Marsh, and S. Pope, Exploring Different Types of Trust Propagation, LNCS 3986, Springer-Verlag, 2006, pp. 179–192.
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