User Participation and Honesty in Online Rating Systems: What a Social Network Can Do

Alan Davoust, Babak Esfandiari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

An important problem with online communities in general, and online rating systems in particular, is uncooperative behavior: lack of user participation, dishonest contributions. This may be due to an incentive structure akin to a Prisoners' Dilemma (PD). We show that introducing an explicit social network to PD games fosters cooperative behavior, and use this insight to design a new aggregation technique for online rating systems. Using a dataset of ratings from Yelp, we show that our aggregation technique outperforms Yelp's proprietary filter, as well as baseline techniques from recommender systems.
Original languageEnglish
Title of host publicationThe Workshops of the Thirtieth AAAI Conference on Artificial Intelligence Incentives and Trust in Electronic Communities: Technical Report WS-16-09
PublisherAAAI Press
Pages477-483
Number of pages7
ISBN (Print)978-1-57735-759-9
Publication statusPublished - Jul 2016
EventWorkshops of the Thirtieth AAAI Conference on Artificial Intelligence Incentives and Trust in Electronic Communities - Phoenix, United States
Duration: 12 Feb 201613 Feb 2016
https://www.aaai.org/Library/Workshops/ws16-09.php

Conference

ConferenceWorkshops of the Thirtieth AAAI Conference on Artificial Intelligence Incentives and Trust in Electronic Communities
Country/TerritoryUnited States
CityPhoenix
Period12/02/1613/02/16
Internet address

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