We develop a novel probabilistic approach to ad hoc retrieval that explicitly addresses the uncertainty about the information need underlying a given query. In doing so, we account for the special role of the corpus in the retrieval process. The derived retrieval method integrates multiple relevance models by using estimates of their faithfulness to the presumed information need. Empirical evaluation demonstrates the performance merits of the proposed approach. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Soskin, N., Kurland, O., & Domshlak, C. (2009). Navigating in the dark: Modeling uncertainty in ad hoc retrieval using multiple relevance models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5766 LNCS, pp. 79–91). https://doi.org/10.1007/978-3-642-04417-5_8
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