Sessions 1 : Conversational Search
Chair : Keping Bi
Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification(TOIS)
Jie, Zou; Aliannejadi, Mohammad; Kanoulas, Evangelos; Pera, Maria Soledad; Yiqun, Liu
A Comparative Study of Training Objectives for Clarification Facet Generation
Shiyu Ni, Keping Bi, Jiafeng Guo and Xueqi Cheng
Retrieving Supporting Evidence for Generative Question Answering
Siqing Huo, Negar Arabzadeh and Charles Clarke
Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree Matching (Virtual)
Siqi Gao and Yiu-Kai Ng
Ethical Alignment Meets Conversational Information Retrieval
Yiyao Yu, Junjie Wang, Yuxiang Zhang, Lin Zhang, Yujiu Yang and Tetsuya Sakai
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores
Rikiya Takehi, Akihisa Watanabe and Tetsuya Sakai
ChatGPT Hallucinates when Attributing Answers (Virtual)
Guido Zuccon, Bevan Koopman and Razia Shaik
Sessions 2 : Domains & Applications
Chair : Jieming Zhu
Multimodal Fashion Knowledge Extraction as Captioning
Yifei Yuan, Wenxuan Zhang, Yang Deng and Wai Lam
Chuweb21D: A Deduped English Document Collection for Web Search Tasks
Zhumin Chu, Tetsuya Sakai, Qingyao Ai and Yiqun Liu
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation (Virtual)
Shuai Wang, Harrisen Scells, Bevan Koopman, Martin Potthast and Guido Zuccon
Examination of Information Problem Decomposition Strategies: A New Perspective for Understanding Users’ Information Problems in Search as Learning
Xiaoyue Zhang and Chang Liu
Sessions 3 : Learning & Ranking
Chair : Charles Clarke
Few-Shot Aspect Category Sentiment Analysis via Meta-Learning(TOIS)
Bin, Liang; Xiang, Li; Lin, Gui; Yonghao, Fu; Yulan, He; Min, Yang; Ruifeng, Xu
RFR: Representation-Focused Replay for Overcoming the Catastrophic Forgetting in Lifelong Language Learning
Zhongyuan Han, Zeyang Peng, Leilei Kong, Zhanhong Ye, Mingjie Huang and Haoliang Qi
Towards Sequential Counterfactual Learning to Rank (Virtual)
Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani and Anshuka Rangi
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong and Ji-Rong Wen
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne and Allan Hanbury
Enhancing Sparse Retrieval via Unsupervised Learning
Xueguang Ma, Hengxin Fun, Xusen Yin, Antonio Mallia and Jimmy Lin
Industry Talk : Innovation Practices in Xiaohongshu Search
Search engines play a crucial role in bridging the connection between users and content. Compared to traditional search engines, the search engine of Xiaohongshu, due to its extensive topic coverage, strong long-tail effect and various content modality, emphasizes the importance of semantic understanding as a key technical element. This presentation will encompass our technological achievements in multimodal semantic understanding and how these technology is applied to practical scenarios such as indexing, retrieval, and ranking in the search engine of Xiaohongshu.
Sessions 4 : Legal / Indexing
Chair : Zhaochun Ren
Understanding Relevance Judgments in Legal Case Retrieval(TOIS)
Yunqiu, Shao; Yueyue, Wu; Yiqun, Liu; Jiaxin, Mao; Shaoping, Ma
Result Diversification for Legal case Retrieval
Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma and Yiqun Liu
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process
Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang and Yiqun Liu
Boosting legal case retrieval by query content selection with large language models
Youchao Zhou, Heyan Huang and Zhijing Wu
Lossy Compression Options for Dense Index Retention (Virtual)
Joel Mackenzie and Alistair Moffat
Understanding Item Indexing Methods for Recommendation Foundation Models (Virtual)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge and Yongfeng Zhang
Sessions 5 : Neural / Fairness
Chair : Jun Xu
Complex-valued Neural Network based Quantum Language Models(TOIS)
Peng, Zhang; Wenjie, Hui; Benyou, Wang; Donghao, Zhao; Dawei, Song; Lioma, Christina; Simonsen, Jakob
Bridging the Gap Between Universal and Segmentation-specific Representation: Adaptive Learning on User Segmentation with Bipartite Neural Interaction
Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Zhang and Xihe Qiu
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval (Virtual)
Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon and Daxin Jiang
Selecting which Dense Retriever to use for Zero-Shot Search (Virtual)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang and Guido Zuccon
Vertical Allocation-based Fair Exposure Amortizing in Ranking (Virtual)
Tao Yang, Zhichao Xu and Qingyao Ai
Automatic Feature Fairness in Recommendation via Adversaries
Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan and Min-Yen Kan
Sessions 6 : Recommendation
Chair : Weizhi Ma
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing(TOIS)
Zhaohao, Lin; Weike, Pan; Qiang, Yang; Zhong, Ming
Sequential Recommendation with User Evolving Preference Decomposition
Weiqi Shao, Jiashu Zhao, Long Xia, Jingsen Zhang and Dawei Yin
User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study
Ming Li, Lin Li, Xiaohui Tao and Ning Zhong
Multi-Behavior Job Recommendation with Dynamic Availability (Virtual)
Yosuke Saito and Kazunari Sugiyama
AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System (Virtual)
Yi Yu, Kazunari Sugiyama and Adam Jatowt
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels
Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin and Jun Xu
SE-PEF: a Resource for Personalized Expert Finding
Pranav Kasela, Gabriella Pasi and Raffaele Perego
