Predicting trusts among users of online communities: An epinions case study

Haifeng Liu, Ee Peng Lim, Hady W. Lauw, Minh Tam Le, Aixin Sun, Jaideep Srivastava, Young Ae Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

121 Citations (Scopus)

Abstract

Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users may rely on trust information to make decisions. In this paper, we address the problem of predicting whether a user trusts another user. Most prior work infers unknown trust ratings from known trust ratings. The effectiveness of this approach depends on the connectivity of the known web of trust and can be quite poor when the connectivity is very sparse which is often the case in an online community. In this paper, we therefore propose a classification approach to address the trust prediction problem. We develop a taxonomy to obtain an extensive set of relevant features derived from user attributes and user interactions in an online community. As a test case, we apply the approach to data collected from Epinions, a large product review community that supports various types of interactions as well as a web of trust that can be used for training and evaluation. Empirical results show that the trust among users can be effectively predicted using pre-trained classifiers.

Original languageEnglish
Title of host publicationProceedings of the ACM Conference on Electronic Commerce
Pages310-319
Number of pages10
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 ACM Conference on Electronic Commerce, EC'08 - Chicago, IL
Duration: 8 Jul 200812 Jul 2008

Other

Other2008 ACM Conference on Electronic Commerce, EC'08
CityChicago, IL
Period8/7/0812/7/08

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Websites
Electronic commerce
Taxonomies
Classifiers

Keywords

  • Online community
  • Trust prediction
  • User interaction

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Liu, H., Lim, E. P., Lauw, H. W., Le, M. T., Sun, A., Srivastava, J., & Kim, Y. A. (2008). Predicting trusts among users of online communities: An epinions case study. In Proceedings of the ACM Conference on Electronic Commerce (pp. 310-319) https://doi.org/10.1145/1386790.1386838

Predicting trusts among users of online communities : An epinions case study. / Liu, Haifeng; Lim, Ee Peng; Lauw, Hady W.; Le, Minh Tam; Sun, Aixin; Srivastava, Jaideep; Kim, Young Ae.

Proceedings of the ACM Conference on Electronic Commerce. 2008. p. 310-319.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Liu, H, Lim, EP, Lauw, HW, Le, MT, Sun, A, Srivastava, J & Kim, YA 2008, Predicting trusts among users of online communities: An epinions case study. in Proceedings of the ACM Conference on Electronic Commerce. pp. 310-319, 2008 ACM Conference on Electronic Commerce, EC'08, Chicago, IL, 8/7/08. https://doi.org/10.1145/1386790.1386838
Liu H, Lim EP, Lauw HW, Le MT, Sun A, Srivastava J et al. Predicting trusts among users of online communities: An epinions case study. In Proceedings of the ACM Conference on Electronic Commerce. 2008. p. 310-319 https://doi.org/10.1145/1386790.1386838
Liu, Haifeng ; Lim, Ee Peng ; Lauw, Hady W. ; Le, Minh Tam ; Sun, Aixin ; Srivastava, Jaideep ; Kim, Young Ae. / Predicting trusts among users of online communities : An epinions case study. Proceedings of the ACM Conference on Electronic Commerce. 2008. pp. 310-319
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