AAAI Publications, Workshops at the Thirtieth AAAI Conference on Artificial Intelligence

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User Participation and Honesty in Online Rating Systems: What a Social Network Can Do
Alan Davoust, Babak Esfandiari

Last modified: 2016-03-29

Abstract


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.

Keywords


incentives; rating systems; social networks

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