Societal biases that are contained in retrieved documents have received
...
This study explores the potential of reinforcement learning algorithms t...
Exposure bias is a well-known issue in recommender systems where the exp...
Exposure bias is a well-known issue in recommender systems where items a...
Fairness is a critical system-level objective in recommender systems tha...
Exposure bias is a well-known issue in recommender systems where items a...
Fairness is a critical system-level objective in recommender systems tha...
Recommendation and ranking systems are known to suffer from popularity b...
Recently there has been a growing interest in fairness-aware recommender...
Recommendation algorithms are known to suffer from popularity bias; a fe...
Popularity bias is a well-known phenomenon in recommender systems: popul...
Academic research in recommender systems has been greatly focusing on th...
Recommender systems are often biased toward popular items. In other word...
Fairness in machine learning has been studied by many researchers. In
pa...
The proliferation of personalized recommendation technologies has raised...
Fairness in recommender systems has recently received attention from
res...
Recently there has been a growing interest in fairness-aware recommender...
Research on fairness in machine learning has been recently extended to
r...
Recommender systems are known to suffer from the popularity bias problem...
It is well known that explicit user ratings in recommender systems are b...