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ORCIDSIGIR-AP 2023: Beijing, China
- Qingyao Ai, Yiqin Liu, Alistair Moffat, Xuanjing Huang, Tetsuya Sakai, Justin Zobel:
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023. ACM 2023
Session 1: Conversational Search
- Shiyu Ni
, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. 1-10 - Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke:
Retrieving Supporting Evidence for Generative Question Answering. 11-20 - Siqi Gao, Yiu-Kai Dennis Ng:
Recommending Answers to Math Questions Based on KL-Divergence and Approximate XML Tree Matching. 21-31 - Yiyao Yu, Junjie Wang, Yuxiang Zhang, Lin Zhang, Yujiu Yang, Tetsuya Sakai:
EALM: Introducing Multidimensional Ethical Alignment in Conversational Information Retrieval. 32-39 - Rikiya Takehi, Akihisa Watanabe, Tetsuya Sakai:
Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores. 40-45 - Guido Zuccon, Bevan Koopman, Razia Shaik:
ChatGPT Hallucinates when Attributing Answers. 46-51
Session 2: Domains and Applications
- Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam:
Multimodal Fashion Knowledge Extraction as Captioning. 52-62 - Zhumin Chu, Tetsuya Sakai, Qingyao Ai, Yiqun Liu:
Chuweb21D: A Deduped English Document Collection for Web Search Tasks. 63-72 - Shuai Wang, Harrisen Scells, Bevan Koopman, Martin Potthast, Guido Zuccon:
Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation. 73-83 - Xiaoyue Zhang, Chang Liu:
Examination of Information Problem Decomposition Strategies: A New Perspective for Understanding Users' Information Problems in Search as Learning. 84-94 - Rajeev Verma, Tirthankar Ghosal, Saprativa Bhattacharjee, Asif Ekbal, Pushpak Bhattacharyya:
ReviVal: Towards Automatically Evaluating the Informativeness of Peer Reviews. 95-103 - Ming Li, Lin Li, Xiaohui Tao, Ning Zhong:
User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study. 104-113
Session 3: Learning and Ranking
- Zhongyuan Han, Zeyang Peng, Leilei Kong, Zhanhong Ye, Mingjie Huang, Haoliang Qi:
RFR: Representation-Focused Replay for Overcoming the Catastrophic Forgetting in Lifelong Language Learning. 114-121 - Tesi Xiao, Branislav Kveton, Sumeet Katariya, Tanmay Gangwani, Anshuka Rangi:
Towards Sequential Counterfactual Learning to Rank. 122-128 - Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-$k$ Learning to Rank with Causal Likelihood Decomposition. 129-138 - Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury:
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. 139-149 - Xueguang Ma, Hengxin Fun, Xusen Yin, Antonio Mallia, Jimmy Lin:
Enhancing Sparse Retrieval via Unsupervised Learning. 150-157
Session 4: Legal Search and Indexing
- Ruizhe Zhang, Qingyao Ai, Yueyue Wu, Yixiao Ma, Yiqun Liu:
Result Diversification for Legal case Retrieval. 158-168 - Beining Wang, Ruizhe Zhang, Yueyue Wu, Qingyao Ai, Min Zhang, Yiqun Liu:
Investigating the Influence of Legal Case Retrieval Systems on Users' Decision Process. 169-175 - Youchao Zhou, Heyan Huang, Zhijing Wu:
Boosting legal case retrieval by query content selection with large language models. 176-184 - Joel Mackenzie, Alistair Moffat:
Lossy Compression Options for Dense Index Retention. 185-194 - Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang:
How to Index Item IDs for Recommendation Foundation Models. 195-204
Session 5: Neural Search and Fairness
- Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. 205-211 - Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. 212-222 - Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Xi Wang, Guido Zuccon:
Selecting which Dense Retriever to use for Zero-Shot Search. 223-233 - Tao Yang, Zhichao Xu, Qingyao Ai:
Vertical Allocation-based Fair Exposure Amortizing in Ranking. 234-244 - Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan:
Automatic Feature Fairness in Recommendation via Adversaries. 245-252
Session 6: Recommendation
- Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin:
Sequential Recommendation with User Evolving Preference Decomposition. 253-263 - Yosuke Saito, Kazunari Sugiyama:
Multi-Behavior Job Recommendation with Dynamic Availability. 264-271 - Yi Yu, Kazunari Sugiyama, Adam Jatowt:
AdaReX: Cross-Domain, Adaptive, and Explainable Recommender System. 272-281 - Sirui Chen, Xiao Zhang, Xu Chen, Zhiyu Li, Yuan Wang, Quan Lin, Jun Xu:
Reinforcement Re-ranking with 2D Grid-based Recommendation Panels. 282-287 - Pranav Kasela, Gabriella Pasi, Raffaele Perego:
SE-PEF: a Resource for Personalized Expert Finding. 288-309
Tutorials
- Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Recent Advances in Generative Information Retrieval. 294-297 - Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. 298-301 - Krisztian Balog, ChengXiang Zhai:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. 302-305 - Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. 306-309
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