Aligning popularity and quality in online cultural markets
| dc.contributor.author | Van Hentenryck, Pascal | |
| dc.contributor.author | Abeliuk, Andres | |
| dc.contributor.author | Berbeglia, Franco | |
| dc.contributor.author | Maldonado, Felipe | |
| dc.contributor.author | Berbeglia, Gerardo | |
| dc.coverage.spatial | Cologne Germany | |
| dc.date.accessioned | 2018-11-30T01:19:42Z | |
| dc.date.available | 2018-11-30T01:19:42Z | |
| dc.date.created | May 17-20 2016 | |
| dc.date.issued | 2016 | |
| dc.date.updated | 2018-11-29T08:22:03Z | |
| dc.description.abstract | Social 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.mimetype | application/pdf | en_AU |
| dc.identifier.isbn | 9781577357582 | |
| dc.identifier.uri | http://hdl.handle.net/1885/154159 | |
| dc.publisher | AAAI Press | |
| dc.relation.ispartofseries | International Conference on Web and Social Media, ICWSM 2016 | |
| dc.source | Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016 | |
| dc.source.uri | http://icwsm.org/2016/submitting/guidelines/ | |
| dc.title | Aligning popularity and quality in online cultural markets | |
| dc.type | Conference paper | |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.lastpage | 407 | |
| local.bibliographicCitation.startpage | 398 | |
| local.contributor.affiliation | Van Hentenryck, Pascal, University of Michigan | |
| local.contributor.affiliation | Abeliuk, Andres, NICTA | |
| local.contributor.affiliation | Berbeglia, Franco, Carnegie Mellon University | |
| local.contributor.affiliation | Maldonado, Felipe, College of Engineering and Computer Science, ANU | |
| local.contributor.affiliation | Berbeglia, Gerardo, Melbourne Business School | |
| local.contributor.affiliation | Van Hentenryck, Pascal, College of Engineering and Computer Science, ANU | |
| local.contributor.authoruid | Maldonado, Felipe, u5712169 | |
| local.contributor.authoruid | Van Hentenryck, Pascal, u5136864 | |
| local.description.notes | Imported from ARIES | |
| local.description.refereed | Yes | |
| local.identifier.absfor | 080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING | |
| local.identifier.absfor | 080200 - COMPUTATION THEORY AND MATHEMATICS | |
| local.identifier.absfor | 080300 - COMPUTER SOFTWARE | |
| local.identifier.ariespublication | U3488905xPUB24523 | |
| local.identifier.scopusID | 2-s2.0-84979642596 | |
| local.type.status | Published Version |
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