Effective and efficient user interaction for long queries

@inproceedings{Kumaran2008EffectiveAE,
  title={Effective and efficient user interaction for long queries},
  author={Giridhar Kumaran and James Allan},
  booktitle={SIGIR},
  year={2008}
}
Handling long queries can involve either pruning the query to retain only the important terms (reduction), or expanding the query to include related concepts (expansion). While automatic techniques to do so exist, roughly 25% performance improvements in terms of MAP have been realized in past work through interactive variants. We show that selectively reducing or expanding a query leads to an average improvement of 51% in MAP over the baseline for standard TREC test collections. We demonstrate… CONTINUE READING
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