2012 ETrustUnderstandingTrustEvoluti

• (Tang et al., 2012) ⇒ Jiliang Tang, Huiji Gao, Huan Liu, and Atish Das Sarma. (2012). “eTrust: Understanding Trust Evolution in An Online World.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339574

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+eTrust%3A+Understanding+Trust+Evolution+in+An+Online+World
• http://dl.acm.org/citation.cfm?id=2339530.2339574&preflayout=flat#citedby

Quotes

Author Keywords

• Information filtering; multi-faceted trust; trust evolution; user preference

Abstract

Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists studying trust evolution in an online world. Researching online trust evolution faces unique challenges because more often than not, available data is from passive observation. In this paper, we leverage social science theories to develop a methodology that enables the study of online trust evolution. In particular, we propose a framework of evolution trust, eTrust, which exploits the dynamics of user preferences in the context of online product review. We present technical details about modeling trust evolution, and perform experiments to show how the exploitation of trust evolution can help improve the performance of online applications such as rating and trust prediction.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 ETrustUnderstandingTrustEvoluti	Huan Liu Atish Das Sarma Jiliang Tang Huiji Gao			eTrust: Understanding Trust Evolution in An Online World				10.1145/2339530.2339574		2012