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A probabilistic solution to the selection and fusion problem in distributed information retrieval
1999
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99
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 e ectively limiting the ranking process to a subset of subcollections. 1 This problem has been identi ed by V oorhees et al. VGJL94 a s the collection fusion problem".
doi:10.1145/312624.312685
dblp:conf/sigir/Baumgarten99
fatcat:n4lp5mymz5ft7gqsji6bgbuhy4