Just talk to me: a field study of expertise location
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Formal models for expert finding in enterprise corpora
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Enhancing expert search through query modeling
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The search for expertise: to the documents and beyond
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Non-local evidence for expert finding
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Modeling multi-step relevance propagation for expert finding
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A study of the relationship between ad hoc retrieval and expert finding in enterprise environment
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A language modeling framework for expert finding
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The Right Expert at the Right Time and Place
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Enhancing Expert Finding Using Organizational Hierarchies
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Integrating multiple document features in language models for expert finding
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Mimicking Web search engines for expert search
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Automatic people tagging for expertise profiling in the enterprise
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Finding the right supervisor: expert-finding in a university domain
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Expert group formation using facility location analysis
Information Processing and Management: an International Journal
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In this paper we address the problem of searching for knowledgeable persons within the enterprise, known as the expert finding (or expert search) task. We present a probabilistic algorithm using the assumption that terms in documents are produced by people who are mentioned in them.We represent documents retrieved to a query as mixtures of candidate experts language models. Two methods of personal language models extraction are proposed, as well as the way of combining them with other evidences of expertise. Experiments conducted with the TREC Enterprise collection demonstrate the superiority of our approach in comparison with the best one among existing solutions.