论文信息 - A probabilistic solution to the selection and fusion problem in distributed information retrieval

A probabilistic solution to the selection and fusion problem in distributed information retrieval

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.

Christoph Baumgarten | C. Baumgarten

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