BBN at TREC7: Using Hidden Markov Models for Information Retrieval
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@MISC{Miller_bbnat,
author = {David R. H. Miller and Tim Leek and Richard M. Schwartz},
title = {BBN at TREC7: Using Hidden Markov Models for Information Retrieval },
year = {}
}
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Abstract
We present a new method for information retrieval using hidden Markov models (HMMs) and relate our experience with this system on the TREC-7 ad hoc task. 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 tf :idf ranking on both the TREC-6 and TREC7 ad hoc retrieval tasks. We go on to present several algorithmic refinements, including a novel method for performing blind feedback in the HMM framework. Together, these methods form a state-of-the-art retrieval system that ranked among the best on the TREC-7 ad hoc retrieval task, and showed extraordinary performance in development experiments on TREC-6.
