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Found 7 papers, 0 papers with code
Regulating Group Exposure for Item Providers in Recommendation
Engaging all content providers, including newcomers or minority demographic groups, is crucial for online platforms to keep growing and working.
Robust Reputation Independence in Ranking Systems for Multiple Sensitive Attributes
A notable example is represented by reputation-based ranking systems, a class of systems that rely on users' reputation to generate a non-personalized item-ranking, proved to be biased against certain demographic classes.
Minimum Structural Sensor Placement for Switched Linear Time-Invariant Systems and Unknown Inputs
First, we provide necessary and sufficient conditions for their structural state and input observability that can be efficiently verified in $O((m(n+p))^2)$, where $n$ is the number of state variables, $p$ is the number of unknown inputs, and $m$ is the number of modes.
A Discrete-time Reputation-based Resilient Consensus Algorithm for Synchronous or Asynchronous Communications
Under mild assumptions, we show that: (i) the proposed method converges exponentially to the consensus of the regular agents; (ii) if a regular agent identifies a neighbor as an attacked node, then it is indeed an attacked node; (iii) if the consensus value of the normal nodes differs from that of any of the attacked nodes' values, then the reputation that a regular agent assigns to the attacked neighbors goes to zero.
Reputation (In)dependence in Ranking Systems: Demographics Influence Over Output Disparities
In this paper, we formulate the concept of disparate reputation (DR) and study if users characterized by sensitive attributes systematically get a lower reputation, leading to a final ranking that reflects less their preferences.
A Robust Reputation-based Group Ranking System and its Resistance to Bribery
Also, by clustering users, the effect of bribery in the proposed multipartite ranking system is dimmed, comparing to the bipartite case.
