Overcoming diverse undesired effects in recommender systems: A deontological approach
In today's digital landscape, recommender systems have gained ubiquity as a means of
directing users toward personalized products, services, and content. However, despite their …
directing users toward personalized products, services, and content. However, despite their …
Robustness of privacy-preserving collaborative recommenders against popularity bias problem
Recommender systems have become increasingly important in today's digital age, but they
are not without their challenges. One of the most significant challenges is that users are not …
are not without their challenges. One of the most significant challenges is that users are not …
Mitigating Exposure Bias in Recommender Systems–A Comparative Analysis of Discrete Choice Models
When implicit feedback recommender systems expose users to items, they influence the
users' choices and, consequently, their own future recommendations. This effect is known as …
users' choices and, consequently, their own future recommendations. This effect is known as …