ML Anthology

A Study of Selection Noise in Collaborative Web Search

Oisín Boydell, Barry Smyth, Cathal Gurrin, Alan F. Smeaton
IJCAI 2005 pp. 1595-1597
/ijcai/2005/boydell2005ijcai-study/

Abstract

Collaborative Web search uses the past search behaviour (queries and selections) of a community of users to promote search results that are relevant to the community. The extent to which these promotions are likely to be relevant depends on how reliably past search behaviour can be captured. We consider this issue by analysing the results of collaborative Web search in circumstances where the behaviour of searchers is unreliable.

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Text

Boydell et al. "A Study of Selection Noise in Collaborative Web Search." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Boydell et al. "A Study of Selection Noise in Collaborative Web Search." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/boydell2005ijcai-study/)

BibTeX

@inproceedings{boydell2005ijcai-study,
  title     = {{A Study of Selection Noise in Collaborative Web Search}},
  author    = {Boydell, Oisín and Smyth, Barry and Gurrin, Cathal and Smeaton, Alan F.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1595-1597},
  url       = {https://mlanthology.org/ijcai/2005/boydell2005ijcai-study/}
}