Comparative preferences induction methods for conversational recommenders

dc.contributor.authorTrabelsi, Walid
dc.contributor.authorWilson, Nic
dc.contributor.authorBridge, Derek G.
dc.contributor.editorPerny, Patrice
dc.contributor.editorPirlot, Marc
dc.contributor.editorTsoukiàs, Alexis
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2014-02-24T11:42:54Z
dc.date.available2014-02-24T11:42:54Z
dc.date.issued2013-11
dc.date.updated2014-01-16T13:39:34Z
dc.description.abstractIn 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.statusPeer revieweden
dc.description.urihttp://www.adt2013.org/en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTRABELSI, 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. 363-374en
dc.identifier.doi10.1007/978-3-642-41575-3_28
dc.identifier.endpage374en
dc.identifier.isbn978-3-642-41574-6
dc.identifier.issn978-3-642-41575-3
dc.identifier.issn0302-9743
dc.identifier.startpage363en
dc.identifier.urihttps://hdl.handle.net/10468/1404
dc.language.isoenen
dc.publisherSpringer Berlin Heidelbergen
dc.relation.ispartofADT 2013: Third International Conference on Algorithmic Decision Theory, Bruxelles, Belgium, November 12-14, 2013.
dc.relation.ispartofseriesLecture Notes in Computer Science;8176
dc.relation.projectinfo: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
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_28en
dc.subjectProgramming techniquesen
dc.subjectComputer communication networksen
dc.subjectProbability and statistics in computer scienceen
dc.subjectAlgorithm analysis and problem complexityen
dc.subjectArtificial intelligence (incl. robotics)en
dc.subjectInformation systems applications (incl. internet)en
dc.titleComparative preferences induction methods for conversational recommendersen
dc.typeConference itemen
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Comparative_Preferences_Induction_Methods_for_Conversational_Recommenders.pdf
Size:
300.69 KB
Format:
Adobe Portable Document Format
Description:
Accepted Version
License bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description: