Enhancing Expert Search Through Query Modeling

An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps to improve traditional document retrieval, so we propose to apply it in a new setting. We adopt a general framework of language modeling for expert finding. We show how expert language models can be used for advanced query modeling. A preliminary experimental evaluation on TREC Enterprise Track 2006 collection shows that our method improves the retrieval precision on the expert finding task. 1 The Expert Finding Task New challenges for the information retrieval research community are posed by the emerging field of Enterprise Search [2]. The diversity of complex information needs within a typical enterprise together with heterogeneity of Intranet data make it difficult to improve the quality of search in general. Instead, researchers concentrate on several important search tasks. One important example of su...

• Type: Conference
• Year: 2007
• Where: ECIR
• Authors: Pavel Serdyukov, Sergey Chernov, Wolfgang Nejdl
• Keywords: ECIR 2007, Expert, Expert Finding Task, Information Technology, Query Modeling