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2010
ACM

SpotRank: a robust voting system for social news websites

11 years 6 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation, and news with a sufficient number of recommendations are displayed on a front page. Malicious users of such websites boost their own content by manipulating the votes. We present SpotRank, an algorithm that can demote the effect of manipulations, thus leading to a better quality of service. We also present a website that implement this algorithm and show evidence of the efficiency of the approach, both from a statistical and human point of view. Categories and Subject Descriptors H.3.3 [Information Search and Retrieval]: Spam demotion General Terms Algorithms, Design, Experimentation, Human Factors
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2010
Where WWW
Authors Thomas Largillier, Guillaume Peyronnet, Sylvain Peyronnet
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