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What the user does not want?: query reformulation through term inclusion-exclusion

Published:18 March 2015Publication History

ABSTRACT

In information retrieval, keyword-based queries often fail to capture actual information need, especially when the need is very specific and particular. Using natural language, however, a user can clearly tell what she wants (positive part) and what she does not (negative parts). We propose techniques for automatic removal of negative parts and query augmentation with judicious term inclusion-exclusion from negative parts. Experiments conducted on standard datasets like TREC, ROBUST, WT10G demonstrate that the proposed techniques yield substantial performance gain, often being statistically significant.

References

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  1. What the user does not want?: query reformulation through term inclusion-exclusion

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          cover image ACM Other conferences
          CODS '15: Proceedings of the 2nd ACM IKDD Conference on Data Sciences
          March 2015
          150 pages
          ISBN:9781450334365
          DOI:10.1145/2732587

          Copyright © 2015 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 18 March 2015

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          Overall Acceptance Rate197of680submissions,29%

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