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Survey and evaluation of query intent detection methods

dc.contributor.authorBrenes Martínez, David José spa
dc.contributor.authorGayo Avello, Daniel spa
dc.contributor.authorPérez González, Kilian spa
dc.date.accessioned2013-01-30T12:37:54Z
dc.date.available2013-01-30T12:37:54Z
dc.date.issued2009spa
dc.identifier.citationProceedings of Workshop on Web Search Click Data, WSCD'09, p. 1-7(2009)spa
dc.identifier.isbn9781605584348spa
dc.identifier.urihttp://hdl.handle.net/10651/12201
dc.descriptionSecond ACM International Conference on Web Search and Data Mining, Barcelona (Spain)
dc.description.abstractUser interactions with search engines reveal three main underlying intents, namely navigational, informational, and transactional. By providing more accurate results depending on such query intents the performance of search engines can be greatly improved. Therefore, query classification has been an active research topic for the last years. However, while query topic classification has deserved a specific bakeoff, no evaluation campaign has been devoted to the study of automatic query intent detection. In this paper some of the available query intent detection techniques are reviewed, an evaluation framework is proposed, and it is used to compare those methods in order to shed light on their relative performance and drawbacks. As it will be shown, manually prepared gold-standard files are much needed, and traditional pooling is not the most feasible evaluation method. In addition to this, future lines of work in both query intent detection and its evaluation are proposed
dc.format.extentp. 1-7spa
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofProceedings of Workshop on Web Search Click Data, WSCD'09spa
dc.rights© 2009 ACMspa
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es/
dc.subjectAlgorithms
dc.subjectMeasurement
dc.subjectPerformance
dc.subjectExperimentation
dc.subjectHuman factors
dc.titleSurvey and evaluation of query intent detection methodsspa
dc.typeinfo:eu-repo/semantics/conferenceObjectspa
dc.identifier.local20090461spa
dc.identifier.doi10.1145/1507509.1507510spa
dc.type.dcmitextspa
dc.relation.publisherversionhttp://dx.doi.org/10.1145/1507509.1507510


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