Despite AI-driven recommendation algorithms being widely adopted to counter information
overload, substantial evidence suggests that they are building cocoons of homogeneous …

EvalRS aims to bring together practitioners from industry and academia to foster a debate on
rounded evaluation of recommender systems, with a focus on real-world impact across a …

Recommender Systems today are still mostly evaluated in terms of accuracy, with other
aspects beyond the immediate relevance of recommendations, such as diversity, long-term …

In the rapidly evolving landscape of online video streaming, the demand for personalized
and adaptive experiences has become paramount. This paper introduces" SwarmStream," …