REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing

Crowdsourcing effectively solves many tasks by employing a distributed human population. Information aggregation from multiple reports provided by potentially unreliable or malicious agents is a primary challenge in crowdsourcing systems. As a result, research in this area has focused on incentivising agents to exert efforts and report truthfully. In particular, Peer-Based Mechanisms (PBMs) appropriately reward … Continue reading REFORM: Reputation Based Fair and Temporal Reward Framework for Crowdsourcing