Paper-Conference

Recommendation algorithms support decision-making, yet their reasoning is often opaque. Explanations can improve user understanding, …

Diversity is a widely studied beyond-accuracy aspect of recommender systems, particularly in the news domain. Extensive research has …

Public transport disruptions require travellers to make rapid replanning decisions under uncertainty, increasing cognitive burden and …

Recommender systems (RS) play a central role in everyday activities by generating personalized recommendations that support users’ …

Public transport disruptions force travellers to replan under uncertainty, increasing cognitive load and requiring personalised …

Artificial Intelligence (AI) is widely used in recruitment with Job Recommender Systems (JRS) being designed for job matching. However, …

This workshop challenges the machine learning-centric focus of modern recommender systems research by reconnecting the field with its …

Research on Recommender Systems (RSs) has evolved across disciplines, from a focus on technical optimization to a broader interest in …

Music recommendation has been a core area of interest within the recommender systems community since its early days. With the rise of …

With the RecSys conference now turning 18 years old, the recommender systems (RS) discipline ventures into adulthood. This workshop …