Comparative preferences induction methods for conversational recommenders

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dc.contributor.author Trabelsi, Walid
dc.contributor.author Wilson, Nic
dc.contributor.author Bridge, Derek G.
dc.contributor.editor Perny, Patrice
dc.contributor.editor Pirlot, Marc
dc.contributor.editor Tsoukiàs, Alexis
dc.date.accessioned 2014-02-24T11:42:54Z
dc.date.available 2014-02-24T11:42:54Z
dc.date.issued 2013-11
dc.identifier.citation TRABELSI, W., WILSON, N. & BRIDGE, D. G. 2013. Comparative preferences induction methods for conversational recommenders. In: PERNEY, P., PIRLOT, M. & TSOUKIÀS, A. (eds.) Algorithmic Decision Theory. Bruxelles, Belgium, 13-15 Nov. Berlin Heidelberg: Springer, pp. 363-374 en
dc.identifier.startpage 363 en
dc.identifier.endpage 374 en
dc.identifier.isbn 978-3-642-41574-6
dc.identifier.issn 978-3-642-41575-3
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10468/1404
dc.identifier.doi 10.1007/978-3-642-41575-3_28
dc.description.abstract In an era of overwhelming choices, recommender systems aim at recommending the most suitable items to the user. Preference handling is one of the core issues in the design of recommender systems and so it is important for them to catch and model the user’s preferences as accurately as possible. In previous work, comparative preferences-based patterns were developed to handle preferences deduced by the system. These patterns assume there are only two values for each feature. However, real-world features can be multi-valued. In this paper, we develop preference induction methods which aim at capturing several preference nuances from the user feedback when features have more than two values. We prove the efficiency of the proposed methods through an experimental study. en
dc.description.uri http://www.adt2013.org/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Springer Berlin Heidelberg en
dc.relation.ispartof ADT 2013: Third International Conference on Algorithmic Decision Theory, Bruxelles, Belgium, November 12-14, 2013.
dc.relation.ispartofseries Lecture Notes in Computer Science;8176
dc.rights © Springer-Verlag Berlin Heidelberg 2013. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-41575-3_28 en
dc.subject Programming techniques en
dc.subject Computer communication networks en
dc.subject Probability and statistics in computer science en
dc.subject Algorithm analysis and problem complexity en
dc.subject Artificial intelligence (incl. robotics) en
dc.subject Information systems applications (incl. internet) en
dc.title Comparative preferences induction methods for conversational recommenders en
dc.type Conference item en
dc.internal.authorcontactother Nic Wilson, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: n.wilson@4c.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2014-01-16T13:39:34Z
dc.description.version Accepted Version en
dc.internal.rssid 241509284
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked No !!CORA!! AV permitted as per LCNS copyright transfer agreement en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress n.wilson@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/08/IN.1/I1912/IE/The Development of Artificial intelligence Approaches for Preferences in Combinational Problems/ en


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