| 2023 | Tasks, Copilots, and the Future of Search. | Ryen W. White |
| 2023 | Introducing MBIB - The First Media Bias Identification Benchmark Task and Dataset Collection. | Martin Wessel, Toms Horych, Terry Ruas, Akiko Aizawa, Bela Gipp, Timo Spinde |
| 2023 | Enhancing Dynamic Image Advertising with Vision-Language Pre-training. | Zhoufutu Wen, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wei Jia, Xiaodong Chen, Shuanglong Li, Lin Liu |
| 2023 | Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. | Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He |
| 2023 | Offline Pseudo Relevance Feedback for Efficient and Effective Single-pass Dense Retrieval. | Xueru Wen, Xiaoyang Chen, Xuanang Chen, Ben He, Le Sun |
| 2023 | Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. | Zhihao Wen, Yuan Fang |
| 2023 | Collaborative Residual Metric Learning. | Tianjun Wei, Jianghong Ma, Tommy W. S. Chow |
| 2023 | Strategy-aware Bundle Recommender System. | Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | LightGT: A Light Graph Transformer for Multimedia Recommendation. | Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. | Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng |
| 2023 | Searching for Products in Virtual Reality: Understanding the Impact of Context and Result Presentation on User Experience. | Austin R. Ward, Sandeep Avula, Hao Fei Cheng, Sheikh Muhammad Sarwar, Vanessa Murdock, Eugene Agichtein |
| 2023 | RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System. | Kai Wang, Zhene Zou, Minghao Zhao, Qilin Deng, Yue Shang, Yile Liang, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan |
| 2023 | Adaptive Graph Representation Learning for Next POI Recommendation. | Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu |
| 2023 | A Preference Learning Decoupling Framework for User Cold-Start Recommendation. | Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang |
| 2023 | Causal Recommendation: Progresses and Future Directions. | Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He |
| 2023 | PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. | Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang |
| 2023 | Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. | Shuai Wang, Guido Zuccon |
| 2023 | Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion. | Menghan Wang, Jinming Yang, Yuchen Guo, Yuming Shen, Mengying Zhu, Yanlin Wang |
| 2023 | A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment Analysis. | Zengzhi Wang, Qiming Xie, Rui Xia |
| 2023 | Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. | Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen D. Guo, Philip S. Yu |
| 2023 | Diffusion Recommender Model. | Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua |
| 2023 | Can ChatGPT Write a Good Boolean Query for Systematic Review Literature Search? | Shuai Wang, Harrisen Scells, Bevan Koopman, Guido Zuccon |
| 2023 | Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. | Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. | Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis |
| 2023 | DocGraphLM: Documental Graph Language Model for Information Extraction. | Dongsheng Wang, Zhiqiang Ma, Armineh Nourbakhsh, Kang Gu, Sameena Shah |