Paper-Conference

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

Explainability in recommender systems (RS) remains a pivotal yet challenging research frontier. Among state-of-the-art techniques, …

In sequential recommendation scenarios, user intent is a key driver of consumption behavior. However, consumption intents are usually …

Explainability in recommender systems is both crucial and challenging. Among the state-of-the-art explanation strategies, …

Emotions constitute an important aspect when listening to music. While manual annotations from user studies grounded in psychological …