| 2026 | Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion. | Xin Song, Kaiyuan Li, Jinxin Hu |
| 2026 | Who Is Shopping With You? How Persona Design Shapes Cognitive and Social Engagement in AI Shopping Agents. | Hyungwoo Song, Kyusik Kim, Hyeonseok Jeon, Minjeong Shin, Bongwon Suh |
| 2026 | Beyond Fluency: Toward Reliable Trajectories in Agentic IR. | Anushree Sinha, Srivaths Ranganathan, Debanshu Das, Abhishek Dharmaratnakar |
| 2026 | Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning. | Dario Simionato, Andrea Tonon, Mingxue Wang, Weiguo Wang, Tong Gui, Xiaoyue Li |
| 2026 | BeLink: Biomedical Entity Linking Meets Generative Re-Ranking. | Darya Shlyk, Stefano Montanelli, Lawrence Hunter |
| 2026 | FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation. | Ke Shi, Yao Zhang, Feng Guo, Jinyuan Zhang, JunShuo Zhang, Shen Gao, Shuo Shang |
| 2026 | TAR: Generative Auto-Bidding and Budget Pacing via Multi-Scale Trajectory Modeling. | Liang Shi, Longxiang Xu, Zhengju Tang, Yundu Huang, Jian Xu, Zhi Yang |
| 2026 | G-CoS: An Interpretable Gain-Cost Framework for User Satisfaction Estimation in Generative Information Retrieval. | Jia-Ling Shi, Zhijing Wu, Yidong Liang, Xian-Ling Mao |
| 2026 | Fast and Feasible: Permutation-based Constrained Reranking for Revenue Maximization. | Svetlana Shirokovskikh, Anastasiia Soboleva, Ekaterina Solodneva, Aleksandr Katrutsa, Roman Loginov, Egor Samosvat |
| 2026 | Mining Informative Interests via Latent Cross Reasoning for Search Enhanced Recommendation. | Teng Shi, Weicong Qin, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2026 | From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation. | Jeeho Shin, Kyungho Kim, Kijung Shin |
| 2026 | Preliminary Study of an Evaluation Benchmark for Vision-Language Models in Fashion E-Commerce. | Ryotaro Shimizu, Sai Htaung Kham, Shion Sakurai, Yuki Shimizu |
| 2026 | BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration. | Yung-Yu Shih, Shang-Yu Su, Tzu-I Ho, Dongzhe Wang, Yun-Nung Chen |
| 2026 | Content-Based Dataset Knowledge Graphs for Dataset Search. | Qing Shi, Jing He, Xintian Pan, Jialiang Wan, Gong Cheng |
| 2026 | NBA-Net: Next-Behavior-Aware Network for Intent Recommendation. | Haoxin Shen, Peng Ying, Wanjie Tao, Jie Liang, Quan Lu, Ning Jiang |
| 2026 | GenRecEdit: Adapting Model Editing for Generative Recommendation with Cold-Start Items. | Chenglei Shen, Teng Shi, Weijie Yu, Xiao Zhang, Jun Xu |
| 2026 | ESCOMIC: User Adaptive | Suraj Shashidhar, Sayantan Polley, Soumit Roy, Andreas Nrnberger |
| 2026 | Tokens to Types: Context Editing with Selective Entity Abstraction for Grounded Generation. | Rounak Sharma, Debabrata Mahapatra, Shiv Kumar Saini |
| 2026 | Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM. | Sahel Sharifymoghaddam, Yijun Ge, Raghav Vasudeva, Jimmy Lin |
| 2026 | MathMex-PDF: Towards Accessible Visual Mathematics. | Nathaniel Serrano, Lucas Matheson, Clayton Durepos, Behrooz Mansouri |
| 2026 | Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank. | Suryaa Veerabathiran Seran, Ashwin Naresh Kumar, Tracy Holloway King, Jing Zheng |
| 2026 | T-RADAR: Simulating Trademark Examination as an Interactive Retrieval Interface for Conflict Risk Assessment. | Yongdeuk Seo, Noah Lee, Hyun-seok Min, Sungchul Choi |
| 2026 | Comparing Token Pruning Approaches for Multi-Vector Retrieval. | Ferdinand Schlatt, Hanno Barschel, Matthias Hagen |
| 2026 | RAPO: Reason-Aware Preference Optimization for Factual Table Question Answering over Structured Data. | Phaniram Sayapaneni, Musen Wen, Sunil Goda |
| 2026 | Aspect-Aware Content-Based Recommendations for Mathematical Research Papers. | Ankit Satpute, Andr Greiner-Petter, Noah Gieing, Olaf Teschke, Moritz Schubotz, Akiko Aizawa, Bela Gipp |