Jul 2, 2016 · Typical approaches perform some or all of the following: incentivise honest ratings, detect and filter unfair ratings, update advisors' ...
In rating systems, users want to construct accurate opinions based on ratings. However, the accuracy is bounded by the amount of information transmitted ...
In rating systems, users want to construct accurate opinions based on ratings. However, the accuracy is bounded by the amount of information transmitted ...
In rating systems, users want to construct accurate opinions based on ratings. However, the accuracy is bounded by the amount of information.
How to use information theory to mitigate unfair rating attacks. Abstract: In rating systems, users want to construct accurate opinions based on ratings.
ABSTRACT. Unfair rating attacks to trust systems can affect the accuracy of trust evaluation when trust ratings (recommendations).
Missing: Mitigate | Show results with:Mitigate
Unfair Rating Attacks Using Information Theory ... Considering the threats, trust and reputation systems should be designed to mitigate these attacks (i.e. be ...
Abstract—Ratings provided by advisors can help an advisee to make decisions, e.g., which seller to select in e-commerce. Unfair rating attacks – where ...
ABSTRACT. Unfair rating attacks to trust systems can affect the accuracy of trust evaluation when trust ratings (recommendations).
Missing: Mitigate | Show results with:Mitigate
Quantifying robustness of trust systems against collusive unfair rating attacks using information theory ... How to use information theory to mitigate unfair ...