Query type classification for web document retrieval

@inproceedings{Kang2003QueryTC,
  title={Query type classification for web document retrieval},
  author={In-Ho Kang and Gil-Chang Kim},
  booktitle={SIGIR},
  year={2003}
}
The heterogeneous Web exacerbates IR problems and short user queries make them worse. The contents of web documents are not enough to find good answer documents. Link information and URL information compensates for the insufficiencies of content information. However, static combination of multiple evidences may lower the retrieval performance. We need different strategies to find target documents according to a query type. We can classify user queries as three categories, the topic relevance… CONTINUE READING
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Overview of the trec-2001 web track

  • D. Hawking, N. Craswell
  • Text REtrieval Conference (TREC-10), pages 61–67,
  • 2001
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