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dc.contributor.authorGhirmatsion, Aman Berhane
dc.contributor.authorBalog, Krisztian
dc.date.accessioned2016-01-26T12:15:58Z
dc.date.accessioned2022-12-23T13:10:38Z
dc.date.available2016-01-26T12:15:58Z
dc.date.available2022-12-23T13:10:38Z
dc.date.issued2015
dc.identifier.citationGhirmatsion, Aman Berhane; Balog, Krisztian (2015). Probabilistic field mapping for product search. CEUR Workshop Proceedings 2015 ;Volum 1391.en_US
dc.identifier.issn1613-0073
dc.identifier.urihttps://hdl.handle.net/11250/3039419
dc.description.abstractThis paper describes our participation in the product search task of the CLEF 2015 LL4IR Lab. Working within a generative language modeling framework, we represent products as semi-structured documents. Our focus is on establishing a probabilistic mapping from query terms to document fields. We present and experimentally compare three alternatives. Our results show that term-specific mapping is beneficial. We also find evidence suggesting that estimating field mapping priors based on historical clicks outperforms the setting where the priors are uniformly distributed.en_US
dc.language.isoengen_US
dc.publisherCEURen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleProbabilistic Field Mapping for Product Searchen_US
dc.typeJournal articleen_US
dc.date.updated2016-01-26T12:15:58Z
dc.description.versionpublishedVersionen_US
dc.rights.holderThe authorsen_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.identifier.cristin1322669


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal