| Document Date: 2009-03-02 14:36:27
Open Document File Size: 232,61 KBShare Result on Facebook
City Hyperlink / / Company Amazon / Cmax / YouTube / Ford / AMD / / IndustryTerm Web content / basic capacity assignment algorithm / online social networking sites / trust networks / semantic web / file sharing systems / approximation algorithm / vote-based ranking systems / flow network / Online Content Voting Nguyen Tran / trust network / max-flow algorithm / max-flow algorithms / synthetic network / online content / news voting site / online content rating / greedy search results / security property using real-world social networks / expander-like networks / recommendation algorithm / news aggregation site / greedy search / greedy search strategy / greedy algorithm / synthetic social network / reputation systems / social networks / arbitrary ranking algorithms / social network / connected network / online news voting site / Greedy search works / breadth-first search manner / vote aggregation solution / trusted web pages / maxflow algorithm / / Organization New York University / ded / / Person Sybil Sybil / Figure / / Position collector / vote l1 collector / single vote collector / vote collector / unlucky vote collector / vote collector / s / negative feedback The vote collector / trusted collector / vote collector / the adaptive strategy / random vote collector / randomly chosen vote collector / / Product SumUp / / Technology basic capacity assignment algorithm / max-flow algorithms / peer-to-peer / PageRank-style algorithm / recommendation algorithm / approximation algorithm / arbitrary ranking algorithms / existing algorithms / maxflow algorithm / file sharing / dom / max-flow algorithm / ranking algorithm / /
SocialTag |
Sybil-Resilient Online Content Voting Nguyen Tran, Bonan Min, Jinyang Li, and Lakshminarayanan Subramanian New York University Abstract Obtaining user opinion (using votes) is essential to ranking user-generated online c