AAAI Publications, Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence

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Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums
Jose San Pedro, Alexandros Karatzoglou

Last modified: 2013-06-29


This paper presents a supervised bayesian approach to model expertise in online forums with application to question routing. The proposed method extends the well-known sLDA model to the multi-task case, accounting for a supervised stage with multiple outputs per document corresponding to the users of the system. A study of the characteristics of real world data revealed a number of challenges in the practical application of this model, relevant to the research community.


Expert Discovery, Question Routing, Multi-Task Regression, Supervised Latent Dirichlet Allocation

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