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Aligning popularity and quality in online cultural markets

dc.contributor.authorVan Hentenryck, Pascal
dc.contributor.authorAbeliuk, Andres
dc.contributor.authorBerbeglia, Franco
dc.contributor.authorMaldonado, Felipe
dc.contributor.authorBerbeglia, Gerardo
dc.coverage.spatialCologne Germany
dc.date.accessioned2018-11-30T01:19:42Z
dc.date.available2018-11-30T01:19:42Z
dc.date.createdMay 17-20 2016
dc.date.issued2016
dc.date.updated2018-11-29T08:22:03Z
dc.description.abstractSocial influence is ubiquitous in cultural markets and plays an important role in recommendations for books, songs, and news articles to name only a few. Yet social influence is often presented in a bad light, often because it supposedly increases market unpredictability. Here we study a model of trial-offer markets, in which participants try products and later decide whether to purchase. We consider a simple policy which recovers product quality and ranks the products by quality when presenting them to market participants. We show that, in this setting, market efficiency always benefits from social influence. Moreover, we prove that the market converges almost surely to a monopoly for the product of highest quality, making the market both predictable and asymptotically optimal. Computational experiments confirm that the quality ranking policy quickly identifies "blockbusters", outperforms other policies, and is highly predictable.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn9781577357582
dc.identifier.urihttp://hdl.handle.net/1885/154159
dc.publisherAAAI Press
dc.relation.ispartofseriesInternational Conference on Web and Social Media, ICWSM 2016
dc.sourceProceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
dc.source.urihttp://icwsm.org/2016/submitting/guidelines/
dc.titleAligning popularity and quality in online cultural markets
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage407
local.bibliographicCitation.startpage398
local.contributor.affiliationVan Hentenryck, Pascal, University of Michigan
local.contributor.affiliationAbeliuk, Andres, NICTA
local.contributor.affiliationBerbeglia, Franco, Carnegie Mellon University
local.contributor.affiliationMaldonado, Felipe, College of Engineering and Computer Science, ANU
local.contributor.affiliationBerbeglia, Gerardo, Melbourne Business School
local.contributor.affiliationVan Hentenryck, Pascal, College of Engineering and Computer Science, ANU
local.contributor.authoruidMaldonado, Felipe, u5712169
local.contributor.authoruidVan Hentenryck, Pascal, u5136864
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.absfor080200 - COMPUTATION THEORY AND MATHEMATICS
local.identifier.absfor080300 - COMPUTER SOFTWARE
local.identifier.ariespublicationU3488905xPUB24523
local.identifier.scopusID2-s2.0-84979642596
local.type.statusPublished Version

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