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dc.date.accessioned | 2012-11-15T16:19:34Z | |
dc.date.available | 2012-11-15T16:19:34Z | |
dc.date.issued | 2006-08 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/24245 | |
dc.description.abstract | We present a method to help a user rede ne a query suggesting a list of similar queries. The method proposed is based on clickthrough data were sets of similar queries could be identi ed. Scienti c literature shows that similar queries are useful for the identi cation of di erent information needs behind a query. Unlike most previous work, in this paper we are focused on the discovery of better queries rather than related queries. We will show with experiments over real data that the identi cation of better queries is useful for query disambiguation and query specialization. | en |
dc.language | en | es |
dc.subject | Query formulation | es |
dc.subject | click-through data | en |
dc.title | Automatic query recommendation using click-through data | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.isbn | 0-387-34655-4 | es |
sedici.creator.person | Dupret, George | es |
sedici.creator.person | Mendoza, Marcelo | es |
sedici.description.note | Applications in Artificial Intelligence - Applications | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática (RedUNCI) | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
sedici.date.exposure | 2006-08 | |
sedici.relation.event | 19 th IFIP World Computer Congress - WCC 2006 | es |
sedici.description.peerReview | peer-review | es |