| 2024 | AMBAR: A dataset for Assessing Multiple Beyond-Accuracy Recommenders. | Elizabeth Gmez, David Contreras, Ludovico Boratto, Maria Salam |
| 2024 | A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios. | Christian Ganhr, Marta Moscati, Anna Hausberger, Shah Nawaz, Markus Schedl |
| 2024 | Enhancing News Recommendation with Transformers and Ensemble Learning. | Kazuki Fujikawa, Naoki Murakami, Yuki Sugawara |
| 2024 | Self-Attentive Sequential Recommendations with Hyperbolic Representations. | Evgeny Frolov, Tatyana Matveeva, Leyla Mirvakhabova, Ivan V. Oseledets |
| 2024 | MuRS 2024: 2nd Music Recommender Systems Workshop. | Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer |
| 2024 | It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation. | Andres Ferraro, Michael D. Ekstrand, Christine Bauer |
| 2024 | DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. | Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci |
| 2024 | Recommending Personalised Targeted Training Adjustments for Marathon Runners. | Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth |
| 2024 | Enhancing Privacy in Recommender Systems through Differential Privacy Techniques. | Angela Di Fazio |
| 2024 | Can Editorial Decisions Impair Journal Recommendations? Analysing the Impact of Journal Characteristics on Recommendation Systems. | Elias Entrup, Ralph Ewerth, Anett Hoppe |
| 2024 | Multi-Behavioral Sequential Recommendation. | Shereen Elsayed, Ahmed Rashed, Lars Schmidt-Thieme |
| 2024 | AltRecSys: A Workshop on Alternative, Unexpected, and Critical Ideas in Recommendation. | Michael D. Ekstrand, Maria Soledad Pera, Alan Said |
| 2024 | FAccTRec 2024: The 7th Workshop on Responsible Recommendation. | Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen |
| 2024 | Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation System. | Alexander Eggerth, Javier Argota Snchez-Vaquerizo, Dirk Helbing, Sachit Mahajan |
| 2024 | Towards Understanding The Gaps of Offline And Online Evaluation Metrics: Impact of Series vs. Movie Recommendations. | Bora Edizel, Tim Sweetser, Ashok Chandrashekar, Kamilia Ahmadi, Puja Das |
| 2024 | A Tutorial on Feature Interpretation in Recommender Systems. | Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen |
| 2024 | MAWI Rec: Leveraging Severe Weather Data in Recommendation. | Brendan Andrew Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley |
| 2024 | Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias. | Lulu Dong, Guoxiu He, Aixin Sun |
| 2024 | Fairness and Transparency in Music Recommender Systems: Improvements for Artists. | Karlijn Dinnissen |
| 2024 | FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations. | Yuchen Ding, Siqing Zhang, Boyu Fan, Wei Sun, Yong Liao, Peng Yuan Zhou |
| 2024 | Exploratory Analysis of Recommending Urban Parks for Health-Promoting Activities. | Linus W. Dietz, Sanja Scepanovic, Ke Zhou, Daniele Quercia |
| 2024 | A New Perspective in Health Recommendations: Integration of Human Pose Estimation. | Gaetano Dibenedetto |
| 2024 | The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). | Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo |
| 2024 | Personal Values and Community-Centric Environmental Recommender Systems: Enhancing Sustainability Through User Engagement. | Bianca Maria Deconcini |
| 2024 | Bias in Book Recommendation. | Savvina Daniil |