recommendation algorithm / p2p file rating systems / approximation algorithm / web page displaying excerpts / possible recommendation systems / recommendation systems / reputation systems / real world applications / news story recommendation systems / Off-the-shell software / continuously-changing social network / trust-based recommendation systems / social networks / social network / online recommendation systems / Classic machine learning algorithms / elegant recommendation algorithm / real-world recommendation systems / not leveraging social networks / /
OperatingSystem
Linux / /
Organization
National University of Singapore / Singapore / School of Computing / /
Person
Phillip B. Gibbons / Michael Kaminsky / Haifeng Yu / /
DSybil: Optimal Sybil-Resistance for Recommendation Systems Haifeng Yu∗ , Chenwei Shi† , Michael Kaminsky‡ , Phillip B. Gibbons§ and Feng Xiao¶ ∗ School of Computing, National University of Singapore, Singapore