Identifying authoritative actors in question-answering forums: the case of Yahoo! answers

  • Authors:
  • Mohamed Bouguessa;Benoît Dumoulin;Shengrui Wang

  • Affiliations:
  • University of Sherbrooke, Sherbrooke, PQ, Canada;Yahoo! Inc., Santa Clara, CA, USA;University of Sherbrooke, Sherbrooke, PQ, Canada

  • Venue:
  • Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

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.