2008 IdentifyingAuthoritativeActorsi

• (Bouguessa et al., 2008) ⇒ Mohamed Bouguessa, Benoît Dumoulin, and Shengrui Wang. (2008). “Identifying Authoritative Actors in Question-answering Forums: The Case of Yahoo! Answers.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1401994

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Cited By

• http://scholar.google.com/scholar?q=%22Identifying+authoritative+actors+in+question-answering+forums%3A+the+case+of+Yahoo!+answers%22+2008
• http://portal.acm.org/citation.cfm?doid=1401890.1401994&preflayout=flat#citedby

Quotes

Abstract

We consider the problem of identifying authoritative users in Yahoo! Answers. A common approach is to use link analysis techniques in order to provide a ranked list of users based on their degree of authority. A major problem for such an approach is determining how many users should be chosen as authoritative from a ranked list. To address this problem, we propose a method for automatic identification of authoritative actors. In our approach, we propose to model the authority scores of users as a mixture of gamma distributions. The number of components in the mixture is estimated by the Bayesian Information Criterion (BIC) while the parameters of each component are estimated using the Expectation-Maximization (EM) algorithm. This method allows us to automatically discriminate between authoritative and non-authoritative users. The suitability of our proposal is demonstrated in an empirical study using datasets from Yahoo! Answers.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2008 IdentifyingAuthoritativeActorsi	Mohamed Bouguessa Benoît Dumoulin Shengrui Wang			Identifying Authoritative Actors in Question-answering Forums: The Case of Yahoo! Answers				10.1145/1401890.1401994