Sequential Voting Promotes Collective Discovery in Social Recommendation Systems

14 Mar 2016L. Elisa CelisPeter M. KrafftNathan Kobe

One goal of online social recommendation systems is to harness the wisdom of crowds in order to identify high quality content. Yet the sequential voting mechanisms that are commonly used by these systems are at odds with existing theoretical and empirical literature on optimal aggregation... (read more)

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