A logistic regression approach to distributed IR

  • Authors:
  • Ray R. Larson

  • Affiliations:
  • University of California, Berkeley, Berkeley, California

  • Venue:
  • SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2002

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Abstract

This poster session examines 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.