A survey on session detection methods in query logs and a proposal for future evaluation

@article{GayoAvello2009ASO,
  title={A survey on session detection methods in query logs and a proposal for future evaluation},
  author={Daniel Gayo-Avello},
  journal={Inf. Sci.},
  year={2009},
  volume={179},
  pages={1822-1843}
}
Search engine logs provide a highly detailed insight of users’ interactions. Hence, they are both extremely useful and sensitive. The datasets publicly available to scholars are, unfortunately, too few, too dated and too small. There are few because search engine companies are reluctant to release such data; they are dated because they were collected in late 1990s or early 2000s; and they are small because they comprise data for at most one day and just a few hundreds of thousands of users… CONTINUE READING
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Separating human and non-human Web queries

  • Y. Zhang, A. Moffat
  • in: Proceedings of the Web Information Seeking…
  • 2007
Highly Influential
4 Excerpts

Analysis of a very large Web search engine query log

  • C. Silverstein
  • ACM SIGIR Forum
  • 1999
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4 Excerpts

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