Paper-Conference

Does tone matter? Exploring context-aware explanations in route recommendations

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

Marloes Vredenborg, Marit Bentvelzen, Christine Bauer, Judith Masthoff

Enhancing diversity in news recommendations increases click-through rates: Insights from an online experiment and user study

Robin Verachtert, Kim Falk, Christine Bauer

Modelling preference heterogeneity for context-aware decision support during public transport disruptions

Anouk Van Kasteren, Marloes Vredenborg, Christine Bauer, Judith Masthoff

'Now what?' Modelling route choices for personalised context-aware decision-support during public transport disruptions

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

Anouk Van Kasteren, Marloes Vredenborg, Christine Bauer, Judith Masthoff

The challenge of understanding explanations for user trust in AI: Insights from an experiment about job matching

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

Glenda Hannibal, Christine Bauer

Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)

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

Eva Zangerle, Alan Said, Christine Bauer

Why do recommenders recommend? Three waves of research perspectives on recommender systems

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

Annelien Smets, Christine Bauer

MuRS: 3rd Music Recommender Systems Workshop

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

Andres Ferraro, Lorenzo Porcaro, Christine Bauer

MuRS 2024: 2nd Music Recommender Systems Workshop

Music recommendation has been relevant to the Recommender Systems (RecSys) community since the early days. With the growth of music …

Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer

It's not you, it's me: the impact of choice models and ranking strategies on gender imbalance in music recommendation

As recommender systems are prone to various biases, mitigation approaches are needed to ensure that recommendations are fair to various …

Andres Ferraro, Michael D. Ekstrand, Christine Bauer

It's not you, it's me: the impact of choice models and ranking strategies on gender imbalance in music recommendation