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Stream-based explainable recommendations via blockchain profiling

2021Journal article Restricted access
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dc.contributor.authorLeal, Fátima
dc.contributor.authorVeloso, Bruno
dc.contributor.authorMalheiro, Benedita
dc.contributor.authorBurguillo, Juan Carlos
dc.contributor.authorChis, Adriana E.
dc.contributor.authorGonzález–Vélez, Horacio
dc.date.accessioned2022-01-03T16:41:54Z
dc.date.embargo2031-12-28
dc.date.issued2021
dc.description.abstractExplainable recommendations enable users to understand why certain items are suggested and, ultimately, nurture system transparency, trustworthiness, and confidence. Large crowdsourcing recommendation systems ought to crucially promote authenticity and transparency of recommendations. To address such challenge, this paper proposes the use of stream-based explainable recommendations via blockchain pro filing. Our contribution relies on chained historical data to improve the quality and transparency of online collaborative recommendation filters - Memory-based and Model-based - using, as use cases, data streamed from two large tourism crowdsourcing platforms, namely Expedia and TripAdvisor. Building historical trust-based models of raters, our method is implemented as an external module and integrated with the collaborative filter through a post-recommendation component. The inter-user trust profiling history, traceability and authenticity are ensured by blockchain, since these profiles are stored as a smart contract in a private Ethereum network. Our empirical evaluation with HotelExpedia and Tripadvisor has consistently shown the positive impact of blockchain-based profiling on the quality (measured as recall) and transparency (determined via explanations) of recommendations.pt_PT
dc.description.sponsorshipThis work was partially financed by: (i) the ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation – COMPETE 2020 Programme within project «POCI-01-0145- FEDER-006961», and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project UIDB/50014/2020; (ii) the Xunta de Galicia (Centro singular de investigaci´on de Galicia accreditation 2019-2022, also financed from ERDF); and (iii) the Irish Research Council within the 16 F. Leal et al. / Stream-based Explainable Recommendations via Blockchain Profiling framework of the EU ERA-NET CHIST-ERA project SPuMoNI: Smart Pharmaceutical Manufacturing www.spumoni.eu.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3233/ICA-210668pt_PT
dc.identifier.issn1069-2509
dc.identifier.urihttp://hdl.handle.net/10400.22/19272
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIOS Presspt_PT
dc.relationPOCI-01-0145- FEDER-006961pt_PT
dc.relationINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
dc.relation.publisherversionhttps://content.iospress.com/articles/integrated-computer-aided-engineering/ica210668pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectRecommendation Systemspt_PT
dc.subjectExplainabilitypt_PT
dc.subjectBlockchainpt_PT
dc.subjectData Streamspt_PT
dc.subjectHistorical Profi lingpt_PT
dc.subjectCrowdsourcingpt_PT
dc.subjectIntelligent Information Systemspt_PT
dc.titleStream-based explainable recommendations via blockchain profilingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleINESC TEC- Institute for Systems and Computer Engineering, Technology and Science
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50014%2F2020/PT
oaire.citation.conferencePlaceClifton, Virginia, EUApt_PT
oaire.citation.endPage121pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage105pt_PT
oaire.citation.titleIntegrated Computer-Aided Engineeringpt_PT
oaire.citation.volume29pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBENEDITA CAMPOS NEVES MALHEIRO
person.givenNameMARIA
person.identifier.ciencia-id7A15-08FC-4430
person.identifier.orcid0000-0001-9083-4292
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoverybabd4fda-654a-4b59-952d-6113eebbb308
relation.isProjectOfPublication7a2d9a82-ee07-4c57-bbbf-2d88b942688d
relation.isProjectOfPublication.latestForDiscovery7a2d9a82-ee07-4c57-bbbf-2d88b942688d

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