| 2024 | Repeated Padding for Sequential Recommendation. | Yizhou Dang, Yuting Liu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Jianzhe Zhao |
| 2024 | Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce. | dm Tibor Czapp, Mtys Jani, Blint Domin, Balzs Hidasi |
| 2024 | Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. | Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen |
| 2024 | CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework. | Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan |
| 2024 | Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations. | Ine Coppens, Toon De Pessemier, Luc Martens |
| 2024 | Unified Denoising Training for Recommendation. | Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong |
| 2024 | Improving Adversarial Robustness for Recommendation Model via Cross-Domain Distributional Adversarial Training. | Jingyu Chen, Lilin Zhang, Ning Yang |
| 2024 | A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. | Gaode Chen, Ruina Sun, Yuezihan Jiang, Jiangxia Cao, Qi Zhang, Jingjian Lin, Han Li, Kun Gai, Xinghua Zhang |
| 2024 | Entity-Aware Collections Ranking: A Joint Scoring Approach. | Sihao Chen, Sheng Li, Youhe Chen, Dong Yang |
| 2024 | Economics of Recommender Systems. | Emilio Calvano, Giacomo Calzolari, Vincenzo Denicol, Sergio Pastorello |
| 2024 | Conducting Recommender Systems User Studies Using POPROX. | Robin Burke, Joseph A. Konstan, Michael D. Ekstrand |
| 2024 | 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24). | Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen |
| 2024 | A Dataset for Adapting Recommender Systems to the Fashion Rental Economy. | Karl Audun Kagnes Borgersen, Morten Goodwin, Morten Grundetjern, Jivitesh Sharma |
| 2024 | First International Workshop on Recommender Systems for Sustainability and Social Good (RecSoGood 2024). | Ludovico Boratto, Allegra De Filippo, Elisabeth Lex, Francesco Ricci |
| 2024 | Fair Augmentation for Graph Collaborative Filtering. | Ludovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda |
| 2024 | Fourth Workshop on Recommender Systems for Human Resources (RecSys in HR 2024). | Toine Bogers, David Graus, Mesut Kaya, Chris Johnson, Jens-Joris Decorte, Tijl De Bie |
| 2024 | How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire. | Brett Binst |
| 2024 | Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn). | Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede |
| 2024 | The Fault in Our Recommendations: On the Perils of Optimizing the Measurable. | Omar Besbes, Yash Kanoria, Akshit Kumar |
| 2024 | Informed Dataset Selection with 'Algorithm Performance Spaces'. | Joeran Beel, Lukas Wegmeth, Lien Michiels, Steffen Schulz |
| 2024 | KGGLM: A Generative Language Model for Generalizable Knowledge Graph Representation Learning in Recommendation. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras, Alessandro Soccol |
| 2024 | Biased User History Synthesis for Personalized Long-Tail Item Recommendation. | Keshav Balasubramanian, Abdulla Alshabanah, Elan Markowitz, Greg Ver Steeg, Murali Annavaram |
| 2024 | CEERS: Counterfactual Evaluations of Explanations in Recommender Systems. | Mikhail Baklanov |
| 2024 | Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data. | Mahta Bakhshizadeh, Heiko Maus, Andreas Dengel |
| 2024 | Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender Systems. | Mahta Bakhshizadeh |