Distributed Search Using A Logistic Regression Model
نویسنده
چکیده
This short paper presents some preliminary effectiveness results for a probabilistic approach to distributed information retrieval using a Logistic regression algorithm for estimation of collection relevance. The algorithm is compared to other methods for distributed search using test collections developed for distributed search evaluation.
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تاریخ انتشار 2002