Incentive Based Ranking Mechanisms
نویسندگان
چکیده
We consider ranking and recommendation systems based on user feedback. We make a case for sharing the revenue generated by such systems with users as incentive to provide useful feedback. Our main contribution are mechanisms for ranking/recommendation which gives incentive for the users to provide useful feedback and is resistant to selfish/malicious behavior (click spam). The mechanisms are designed to give higher incentives for discovering high quality entities rather than for merely providing additional positive feedback for already established entities. A page whose rating/ranking is at variance with its real quality represents an arbitrage opportunity. The mechanisms are simple enough to be used with existing technology in ranking and recommendation systems, requiring little or no extra effort by the users.
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تاریخ انتشار 2006