output
20022024
most citedUser-centered Evaluation of Popularity Bias in Recommender Systems

145 citations

Showing 2021Show all

10 papers · 1 filter

math.RT2021

Superized Troesch complexes and cohomology for strict polynomial superfunctors

Christopher M. Drupieski, Jonathan R. Kujawa

We adapt a construction due to Troesch to the category of strict polynomial superfunctors in order to construct complexes of injective objects whose cohomology is isomorphic to Fro…

cs.IR2021

How does the User's Knowledge of the Recommender Influence their Behavior?

Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell +2

Recommender systems have become a ubiquitous part of modern web applications. They help users discover new and relevant items. Today's users, through years of interaction with thes…

math.CO2021

RAC-drawability is -complete

Marcus Schaefer

A RAC-drawing of a graph is a straight-line drawing in which every crossing occurs at a right-angle. We show that deciding whether a graph has a RAC-drawing is as hard as the exist…

cs.IR202173 cited

A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems

Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy +2

Fairness is a critical system-level objective in recommender systems that has been the subject of extensive recent research. A specific form of fairness is supplier exposure fairne…

cs.IR20212 cited

The Evaluation of Rating Systems in Team-based Battle Royale Games

Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell +1

Online competitive games have become a mainstream entertainment platform. To create a fair and exciting experience, these games use rating systems to match players with similar ski…

cs.SI20214 cited

Parlermonium: A Data-Driven UX Design Evaluation of the Parler Platform

Emma Pieroni, Peter Jachim, Nathaniel Jachim +1

This paper evaluates Parler, the controversial social media platform, from two seemingly orthogonal perspectives: UX design perspective and data science. UX design researchers expl…