Sequential Voting Promotes Collective Discovery in Social Recommendation Systems

@inproceedings{Celis2016SequentialVP,
  title={Sequential Voting Promotes Collective Discovery in Social Recommendation Systems},
  author={L. Elisa Celis and Peter Krafft and Nathan Kobe},
  booktitle={ICWSM},
  year={2016}
}
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. This literature suggests that sequential voting will promote herding—the tendency for individuals to copy the decisions of others around them—and hence lead to suboptimal content recommendation. Is there a… CONTINUE READING