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We propose an expert nding method based on sequential dependence between a candidate expert and the query terms in the scope of a document. We assume that the strength of relation of a candidate to the document's content depends on its position in this document with respect to the positions of the query terms. The experiments on the ocial Enter- prise TREC data demonstrate the advantage of our method over the method based on independence of query terms and persons in a document

Exploiting sequential dependencies for expert finding