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ECIR
2008
Springer

A Statistical View of Binned Retrieval Models

8 years 3 months ago
A Statistical View of Binned Retrieval Models
Many traditional information retrieval models, such as BM25 and language modeling, give good retrieval effectiveness, but can be difficult to implement efficiently. Recently, document-centric impact models were developed in order to overcome some of these efficiency issues. However, such models have a number of problems, including poor effectiveness, and heuristic term weighting schemes. In this work, we present a statistical view of document-centric impact models. We describe how such models can be treated statistically and propose a supervised parameter estimation technique. We analyze various theoretical and practical aspects of the model and show that weights estimated using our new estimation technique are significantly better than the integer-based weights used in previous studies.
Donald Metzler, Trevor Strohman, W. Bruce Croft
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ECIR
Authors Donald Metzler, Trevor Strohman, W. Bruce Croft
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