2010 TrustNetworkInferenceforOnlineR

• (Chua et al., 2010) ⇒ Freddy Chong Tat Chua, and Ee-Peng Lim. (2010). “Trust Network Inference for Online Rating Data Using Generative Models.” In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2010). doi:10.1145/1835804.1835917

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• http://scholar.google.com/scholar?q=%22Trust+network+inference+for+online+rating+data+using+generative+models%22+2010
• http://portal.acm.org/citation.cfm?id=1835917&preflayout=flat#citedby

Quotes

Abstract

In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a few rating and trust related factors. Previous study has shown that ratings and trust links can influence each other but there has been a lack of a formal model to relate these factors together. In this paper, we therefore propose Trust Antecedent Factor (TAF) Model, a novel probabilistic model that generate ratings based on a number of rater's and contributor's factors. We demonstrate that parameters of the model can be learnt by Collapsed Gibbs Sampling. We then apply the model to predict trust and distrust between raters and review contributors using a real data-set. experiments have shown that proposed model is capable of predicting both trust and distrust in a unified way. The model can also determine user factors which otherwise cannot be observed from the rating and trust data.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2010 TrustNetworkInferenceforOnlineR	Freddy Chong Tat Chua Ee-Peng Lim			Trust Network Inference for Online Rating Data Using Generative Models		KDD-2010 Proceedings		10.1145/1835804.1835917		2010