Improving navigation in critique graphs

dc.contributor.authorGenc, Begum
dc.contributor.authorO'Sullivan, Barry
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2018-03-26T10:30:37Z
dc.date.available2018-03-26T10:30:37Z
dc.date.issued2016-11
dc.date.updated2018-03-13T12:45:29Z
dc.description.abstractCritique graphs were introduced as a device for analysing the behaviour of conversational recommender systems. A conversational recommender allows a user to critique a recommended product with statements such as "I'd like a similar product to this one, but cheaper". A critique graph is a directed multigraph in which the nodes represent products, and a directed edge between a pair of products represents how a user can move from one product to another by tweaking a particular product feature. It has been shown that critique graphs are not symmetric: if a user critiques a product pi and is presented with product pj, critiquing product pj in the opposite manner does not necessarily return product pi. Furthermore, it might not be possible to reach all products in a catalogue starting from a given product, or as a consequence of a particular critique some products become unreachable. This latter point is quite unsatisfactory since a user would assume that it is possible to explore the full catalogue by critiquing alone. A number of approaches to overcoming this problem have been proposed in the literature. In this paper we propose a novel approach that exploits the critique graph directly. Specifically, the unreachability is a consequence of a critique graph having more than one strongly connected component. We show how the critique graph can be modified in a minor way, thereby modifying the semantics of critiquing for a given catalogue, so that all products are always reachable.en
dc.description.statusNot peer revieweden
dc.description.urihttp://www.ictai2016.com/en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGenc, B. and O'Sullivan, B. (2016) 'Improving navigation in critique graphs', 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), San Jose, CA, USA, 6-8 November. doi:10.1109/ICTAI.2016.0030en
dc.identifier.doi10.1109/ICTAI.2016.0030
dc.identifier.endpage141en
dc.identifier.startpage134en
dc.identifier.urihttps://hdl.handle.net/10468/5691
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI)
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.rights© 2016, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectStrongly connected componentsen
dc.subjectRecommender systemsen
dc.subjectCritique graphsen
dc.subjectSemanticsen
dc.subjectRecommender systemsen
dc.subjectNavigationen
dc.subjectData analysisen
dc.subjectComputer scienceen
dc.subjectCompoundsen
dc.subjectStandardsen
dc.titleImproving navigation in critique graphsen
dc.typeConference itemen
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