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SIGIR
1999
ACM

A Hidden Markov Model Information Retrieval System

13 years 8 months ago
A Hidden Markov Model Information Retrieval System
We present a new method for information retrievalusing hidden Markov models (HMMs). We develop a general framework for incorporating multiple word generation mechanisms within the same model. We then demonstrate that an extremely simple realization of this model substantially outperforms standard tf :idf ranking on both the TREC-6 and TREC-7 ad hoc retrieval tasks. We go on to present a novel method for performing blind feedback in the HMM framework, a more complex HMM that models bigram production, and several other algorithmic re nements. Together, these methods form a state-of-the-art retrieval system that ranked among the best on the TREC-7 ad hoc retrieval task.
David R. H. Miller, Tim Leek, Richard M. Schwartz
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where SIGIR
Authors David R. H. Miller, Tim Leek, Richard M. Schwartz
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