A hidden Markov model information retrieval system
David R. H. Miller, Tim Leek, Richard Schwartz · 1999
We p r e s e n t a new method for information retrieval using hidden Markov models (HMMs).We d e v elop 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.