| 2024 | Towards Symbiotic Recommendations: Leveraging LLMs for Conversational Recommendation Systems. | Alessandro Petruzzelli |
| 2024 | Scale-Invariant Learning-to-Rank. | Alessio Petrozziello, Christian Sommeregger, Ye-Sheen Lim |
| 2024 | Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items. | Aleksandr Vladimirovich Petrov, Craig Macdonald, Nicola Tonellotto |
| 2024 | Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other? | Gustavo Penha, Ali Vardasbi, Enrico Palumbo, Marco De Nadai, Hugues Bouchard |
| 2024 | Leveraging LLM generated labels to reduce bad matches in job recommendations. | Yingchi Pei, Yi Wei Pang, Warren Cai, Nilanjan Sengupta, Dheeraj Toshniwal |
| 2024 | The Role of Unknown Interactions in Implicit Matrix Factorization - A Probabilistic View. | Joey De Pauw, Bart Goethals |
| 2024 | Toward 100TB Recommendation Models with Embedding Offloading. | Intaik Park, Ehsan K. Ardestani, Damian Reeves, Sarunya Pumma, Henry Tsang, Levy Zhao, Jian He, Joshua Deng, Dennis Van Der Staay, Yu Guo, Paul Zhang |
| 2024 | A Hybrid Multi-Agent Conversational Recommender System with LLM and Search Engine in E-commerce. | Guangtao Nie, Rong Zhi, Xiaofan Yan, Yufan Du, Xiangyang Zhang, Jianwei Chen, Mi Zhou, Hongshen Chen, Tianhao Li, Ziguang Cheng, Sulong Xu, Jinghe Hu |
| 2024 | Workshop on Recommenders in Tourism (RecTour) 2024. | Julia Neidhardt, Tsvi Kuflik, Amit Livne, Markus Zanker |
| 2024 | Multimodal Representation Learning for High-Quality Recommendations in Cold-Start and Beyond-Accuracy. | Marta Moscati |
| 2024 | MARec: Metadata Alignment for cold-start Recommendation. | Julien Monteil, Volodymyr Vaskovych, Wentao Lu, Anirban Majumder, Anton van den Hengel |
| 2024 | Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers. | Amir Reza Mohammadi, Andreas Peintner, Michael Mller, Eva Zangerle |
| 2024 | Revisiting BPR: A Replicability Study of a Common Recommender System Baseline. | Aleksandr Milogradskii, Oleg Lashinin, Alexander P, Marina Ananyeva, Sergey Kolesnikov |
| 2024 | Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. | Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov |
| 2024 | Towards Sustainable Recommendations in Urban Tourism. | Pavel Merinov |
| 2024 | Positive-Sum Impact of Multistakeholder Recommender Systems for Urban Tourism Promotion and User Utility. | Pavel Merinov, Francesco Ricci |
| 2024 | Knowledge-Enhanced Multi-Behaviour Contrastive Learning for Effective Recommendation. | Zeyuan Meng, Zixuan Yi, Iadh Ounis |
| 2024 | Integrating Matrix Factorization with Graph based Models. | Rachana Mehta |
| 2024 | Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data. | Kristina Matrosova, Lilian Marey, Guillaume Salha-Galvan, Thomas Louail, Olivier Bodini, Manuel Moussallam |
| 2024 | A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph. | Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio |
| 2024 | VideoRecSys + LargeRecSys 2024. | Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Saurabh Gupta, Brad Schumitsch, Arnab Bhadury, Ding Tong, Ko-Jen Hsiao, Liang Liu |
| 2024 | GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs. | Ulysse Maes, Lien Michiels, Annelien Smets |
| 2024 | Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm. | Pasquale Lops, Antonio Silletti, Marco Polignano, Cataldo Musto, Giovanni Semeraro |
| 2024 | Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction. | Wenhao Li, Jie Zhou, Chuan Luo, Chao Tang, Kun Zhang, Shixiong Zhao |
| 2024 | MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices. | Jiang Li, Zhen Zhang, Xiang Feng, Muyang Li, Yongqi Liu, Lantao Hu |