Abstract
A model for optimal information retrieval over a distributed document collection is described and experimentally evaluated. The fusion of retrieval results corresponding to document subcollections is performed according to the Probability Ranking Principle. Part of the model is a selection criterion for effectively limiting the ranking process to a subset of subcollections.
Cite
CITATION STYLE
Baumgarten, C. (1999). A probabilistic solution to the selection and fusion problem in distributed information retrieval. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 (pp. 246–253). Association for Computing Machinery, Inc. https://doi.org/10.1145/312624.312685
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