Estimation, sensitivity, and generalization in parameterized retrieval models

Authors:
Donald Metzler
Affiliations:
University of Massachusetts, Amherst, MA
Venue:
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Year:
2006

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Abstract

In this work we investigate three important aspects of parameterized retrieval models: estimation, sensitivity, and generalization. Since all parameterized models, even those based on heuristics, have inherent uncertainty, we study these issues using statistical tools.