| 2024 | Stalactite: toolbox for fast prototyping of vertical federated learning systems. | Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy |
| 2024 | ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning. | Xiao Yu, Jinzhong Zhang, Zhou Yu |
| 2024 | A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation. | Zixuan Yi, Iadh Ounis |
| 2024 | Computational Methods for Designing Human-Centered Recommender Systems: A Case Study Approach Intersecting Visual Arts and Healthcare. | Bereket Abera Yilma |
| 2024 | Adaptive Fusion of Multi-View for Graph Contrastive Recommendation. | Mengduo Yang, Yi Yuan, Jie Zhou, Meng Xi, Xiaohua Pan, Ying Li, Yangyang Wu, Jinshan Zhang, Jianwei Yin |
| 2024 | MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction. | Zhiming Yang, Haining Gao, Dehong Gao, Luwei Yang, Libin Yang, Xiaoyan Cai, Wei Ning, Guannan Zhang |
| 2024 | AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. | Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang |
| 2024 | Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems. | Ting Yang, Li Chen |
| 2024 | Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention. | Rengan Xu, Junjie Yang, Yifan Xu, Hong Li, Xing Liu, Devashish Shankar, Haoci Zhang, Meng Liu, Boyang Li, Yuxi Hu, Mingwei Tang, Zehua Zhang, Tunhou Zhang, Dai Li, Sijia Chen, Gian-Paolo Musumeci, Jiaqi Zhai, Bill Zhu, Hong Yan, Srihari Reddy |
| 2024 | Multi-Preview Recommendation via Reinforcement Learning. | Yang Xu, Kuan-Ting Lai, Pengcheng Xiong, Zhong Wu |
| 2024 | Promoting Two-sided Fairness with Adaptive Weights for Providers and Customers in Recommendation. | Lanling Xu, Zihan Lin, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2024 | Large Scale Hierarchical User Interest Modeling for Click-through Rate Prediction. | Taofeng Xue, Zhimin Lin, Zijian Zhang, Linsen Guo, Haoru Chen, Mengjiao Bao, Peng Yan |
| 2024 | Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | Neighborhood-Based Collaborative Filtering for Conversational Recommendation. | Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2024 | Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. | Yunfan Wu, Qi Cao, Shuchang Tao, Kaike Zhang, Fei Sun, Huawei Shen |
| 2024 | Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction. | Yi Wu, Daryl Chang, Jennifer She, Zhe Zhao, Li Wei, Lukasz Heldt |
| 2024 | Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems. | Timo Wilm, Philipp Normann, Felix Stepprath |
| 2024 | Rs4rs: Semantically Find Recent Publications from Top Recommendation System-Related Venues. | Tri Kurniawan Wijaya, Edoardo D'Amico, Gbor Fodor, Manuel V. Loureiro |
| 2024 | Recommender Systems Algorithm Selection for Ranking Prediction on Implicit Feedback Datasets. | Lukas Wegmeth, Tobias Vente, Joeran Beel |
| 2024 | Evaluating the Pros and Cons of Recommender Systems Explanations. | Kathrin Wardatzky |
| 2024 | LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding. | Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin |
| 2024 | SeCor: Aligning Semantic and Collaborative Representations by Large Language Models for Next-Point-of-Interest Recommendations. | Shirui Wang, Bohan Xie, Ling Ding, Xiaoying Gao, Jianting Chen, Yang Xiang |
| 2024 | A Pre-trained Zero-shot Sequential Recommendation Framework via Popularity Dynamics. | Junting Wang, Praneet Rathi, Hari Sundaram |
| 2024 | Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce. | Yuan Wang, Zhiyu Li, Changshuo Zhang, Sirui Chen, Xiao Zhang, Jun Xu, Quan Lin |
| 2024 | LLMs for User Interest Exploration in Large-scale Recommendation Systems. | Jianling Wang, Haokai Lu, Yifan Liu, He Ma, Yueqi Wang, Yang Gu, Shuzhou Zhang, Ningren Han, Shuchao Bi, Lexi Baugher, Ed H. Chi, Minmin Chen |