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Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicated in supporting documents. On the other hand, discriminative models have received little attention in expert search research, although they have been shown to outperform generative models in many other information retrieval and machine learning applications. In this paper, we propose a principled relevance-baseddoi:10.1145/1835449.1835563 dblp:conf/sigir/FangSM10 fatcat:aynchayycrcxtmyhbe7ym3nvse