Constructing better document and query models with markov chains

Guihong Cao, Jian‐Yun Nie, Jing Bai · 2006

Document and query expansions have been used separately in previous studies to enhance the representation of documents and queries. In this paper, we propose a general method that integrates both of them. Expansion is carried out using multi-stage Markov chains. Our experiments show that this method significantly outperforms the existing approaches.

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