A Search Relevancy Tuning Method Using Expert Results Content Evaluation

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dc.creatorTylevich, Boris Mark
dc.date2004-11-08
dc.date.accessioned2026-07-07T03:21:58Z
dc.date.available2026-07-07T03:21:58Z
dc.descriptionThe article presents an online relevancy tuning method using explicit user feedback. The author developed and tested a method of words' weights modification based on search result evaluation by user. User decides whether the result is useful or not after inspecting the full result content. The experiment proved that the constantly accumulated words weights base leads to better search quality in a specified data domain. The author also suggested future improvements of the method.
dc.description10 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/cs/0411026
dc.identifierhttp://arxiv.org/abs/cs/0411026
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/32416
dc.subjectInformation Retrieval
dc.subjectH.3.3
dc.titleA Search Relevancy Tuning Method Using Expert Results Content Evaluation
dc.typetext

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