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 effectively limiting the ranking process to a subset of subcollections.