This study addresses the challenge of identifying authoritative users in Yahoo! Answers by proposing an automatic method based on link analysis techniques. The approach involves modeling the authority scores of users as a mixture of gamma distributions. The number of components in the mixture is determined using the Bayesian Information Criterion (BIC), and the parameters of each component are estimated through the Expectation-Maximization (EM) algorithm. This method enables the automatic discrimination between authoritative and non-authoritative users. An empirical study using Yahoo! Answers datasets demonstrates the effectiveness of this approach.
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Bouguessa, Mohamed, Benoît Dumoulin, and Shengrui Wang. "Identifying authoritative actors in question-answering forums: the case of yahoo! answers." Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. 2008.
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