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A language modeling framework for resource selection and results merging
2002
Proceedings of the eleventh international conference on Information and knowledge management - CIKM '02
Statistical language models have been proposed recently for several information retrieval tasks, including the resource selection task in distributed information retrieval. This paper extends the language modeling approach to integrate resource selection, ad-hoc searching, and merging of results from different text databases into a single probabilistic retrieval model. This new approach is designed primarily for Intranet environments, where it is reasonable to assume that resource providers are
doi:10.1145/584792.584856
dblp:conf/cikm/SiJCO02
fatcat:c3j4acis3fedng75672tbivqai