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ORCID45th SIGIR 2022: Madrid, Spain
- Enrique Amigó, Pablo Castells, Julio Gonzalo, Ben Carterette, J. Shane Culpepper, Gabriella Kazai:
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022. ACM 2022, ISBN 978-1-4503-8732-3
Keynote Talks
- Alistair Moffat:
Users: Can't Work With Them, Can't Work Without Them? 1 - Eneko Agirre:
Few-shot Information Extraction is Here: Pre-train, Prompt and Entail. 2 - Jaime Teevan:
Searching for a New and Better Future of Work. 3-4 - Ruhi Sarikaya:
Intelligent Conversational Agents for Ambient Computing. 5
Topic 1: Bias in IR
- Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai:
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. 6-17 - Shengyao Zhuang, Hang Li, Guido Zuccon
:
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. 18-28 - Jae-woong Lee, Seongmin Park, Joonseok Lee, Jongwuk Lee:
Bilateral Self-unbiased Learning from Biased Implicit Feedback. 29-39 - Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang:
Interpolative Distillation for Unifying Biased and Debiased Recommendation. 40-49 - Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu:
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. 50-59 - Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao:
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. 60-69
Topic 2: Collaborative Filtering
- Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang:
Hypergraph Contrastive Collaborative Filtering. 70-79 - Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang:
Geometric Disentangled Collaborative Filtering. 80-90 - Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
INMO: A Model-Agnostic and Scalable Module for Inductive Collaborative Filtering. 91-101 - Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen:
Improving Implicit Alternating Least Squares with Ring-based Regularization. 102-111 - Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li:
Graph Trend Filtering Networks for Recommendation. 112-121 - Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao:
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. 122-132
Topic 3: Conversational IR
- Shuo Zhang, Mu-Chun Wang, Krisztian Balog:
Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems. 133-143 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Conversational Question Answering on Heterogeneous Sources. 144-154 - Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua:
Structured and Natural Responses Co-generation for Conversational Search. 155-164 - Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen:
Variational Reasoning about User Preferences for Conversational Recommendation. 165-175 - Kelong Mao, Zhicheng Dou, Hongjin Qian:
Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. 176-186 - Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li:
Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation. 187-200 - Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao:
COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas. 201-211 - Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. 212-222 - Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. 223-233 - Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen:
Generating Clarifying Questions with Web Search Results. 234-244 - Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu:
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. 245-255 - Chenhao Hu, Shuhua Huang, Yansen Zhang, Yubao Liu:
Learning to Infer User Implicit Preference in Conversational Recommendation. 256-266
Topic 4: Cross Domain IR
- Jiangxia Cao, Xixun Lin, Xin Cong, Jing Ya, Tingwen Liu, Bin Wang:
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. 267-277 - Jialin Tian, Xing Xu, Kai Wang, Zuo Cao, Xunliang Cai, Heng Tao Shen:
Structure-Aware Semantic-Aligned Network for Universal Cross-Domain Retrieval. 278-289 - Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li:
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. 290-300 - Xinghua Zhang, Bowen Yu, Yubin Wang, Tingwen Liu, Taoyu Su, Hongbo Xu:
Exploring Modular Task Decomposition in Cross-domain Named Entity Recognition. 301-311 - Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen:
Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. 312-321
Topic 5: CTR and Conversion Rate Prediction
- Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen:
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction. 322-331 - Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang:
NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. 332-342 - Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu:
Enhancing CTR Prediction with Context-Aware Feature Representation Learning. 343-352 - Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao:
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. 353-362 - Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu:
ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. 363-372
Topic 6: Domain-Specific IR
- Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Rui Yan, Xin Gao, Xiangliang Zhang:
Target-aware Abstractive Related Work Generation with Contrastive Learning. 373-383 - Sebastian Gomes, Miriam L. Boon, Orland Hoeber:
A Study of Cross-Session Cross-Device Search Within an Academic Digital Library. 384-394 - Wenwen Gong, Xuyun Zhang, Yifei Chen, Qiang He, Amin Beheshti, Xiaolong Xu, Chao Yan, Lianyong Qi:
DAWAR: Diversity-aware Web APIs Recommendation for Mashup Creation based on Correlation Graph. 395-404 - Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu:
Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing. 405-415 - Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang:
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. 416-426 - Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen:
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. 427-437 - Yixiao Ma, Qingyao Ai, Yueyue Wu, Yunqiu Shao, Yiqun Liu, Min Zhang, Shaoping Ma:
Incorporating Retrieval Information into the Truncation of Ranking Lists for Better Legal Search. 438-448 - Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng:
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. 449-459 - Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert:
Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval. 460-470 - Yonghao Liu, Mengyu Li, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan:
Few-shot Node Classification on Attributed Networks with Graph Meta-learning. 471-481 - Weili Guan, Fangkai Jiao, Xuemeng Song, Haokun Wen, Chung-Hsing Yeh, Xiaojun Chang:
Personalized Fashion Compatibility Modeling via Metapath-guided Heterogeneous Graph Learning. 482-491 - Limeng Cui, Dongwon Lee:
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums. 492-501 - Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou:
Recognizing Medical Search Query Intent by Few-shot Learning. 502-512
Topic 7: Efficiency
- Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin:
Single-shot Embedding Dimension Search in Recommender System. 513-522 - Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. 523-532 - Yiling Jia, Hongning Wang:
Scalable Exploration for Neural Online Learning to Rank with Perturbed Feedback. 533-545 - Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Guandong Xu, Quoc Viet Hung Nguyen:
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation. 546-555
Topic 8: Evaluation and User Studies
- David Carmel, Nachshon Cohen, Amir Ingber, Elad Kravi:
IR Evaluation and Learning in the Presence of Forbidden Documents. 556-566 - Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells:
Human Preferences as Dueling Bandits. 567-577 - Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi:
A Flexible Framework for Offline Effectiveness Metrics. 578-587 - Enrique Amigó, Stefano Mizzaro, Damiano Spina:
Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That. 588-598 - Fernando Diaz, Andres Ferraro:
Offline Retrieval Evaluation Without Evaluation Metrics. 599-609 - Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Information Need Awareness: An EEG Study. 610-621 - Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. 622-632 - Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang, Shaoping Ma:
Why Don't You Click: Understanding Non-Click Results in Web Search with Brain Signals. 633-645
Topic 9: Explainable Search and Recommendation
- Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras:
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations. 646-656 - Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. 657-668 - Puxuan Yu, Razieh Rahimi, James Allan:
Towards Explainable Search Results: A Listwise Explanation Generator. 669-680 - Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang:
Explainable Fairness in Recommendation. 681-691 - Zefeng Cai, Zerui Cai:
PEVAE: A Hierarchical VAE for Personalized Explainable Recommendation. 692-702
Topic 10: Fairness in IR
- Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu:
Joint Multisided Exposure Fairness for Recommendation. 703-714 - Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke:
Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking. 715-725 - Amifa Raj, Michael D. Ekstrand:
Measuring Fairness in Ranked Results: An Analytical and Empirical Comparison. 726-736 - Virginie Do, Nicolas Usunier:
Optimizing Generalized Gini Indices for Fairness in Rankings. 737-747 - Till Kletti, Jean-Michel Renders, Patrick Loiseau:
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model. 748-758 - Maria Heuss, Fatemeh Sarvi, Maarten de Rijke:
Fairness of Exposure in Light of Incomplete Exposure Estimation. 759-769 - Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo:
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. 770-779
Topic 11: IR Models
- Natraj Raman, Sameena Shah, Manuela Veloso:
Structure and Semantics Preserving Document Representations. 780-790 - Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon:
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. 791-802 - Pedro Henrique Silva Rodrigues, Daniel Xavier de Sousa, Thierson Couto Rosa, Marcos André Gonçalves:
Risk-Sensitive Deep Neural Learning to Rank. 803-813 - Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang:
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. 814-824 - Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. 825-836 - Yan Jiang, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Few-Shot Stance Detection via Target-Aware Prompt Distillation. 837-847 - Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. 848-858 - Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang:
Co-clustering Interactions via Attentive Hypergraph Neural Network. 859-869 - Bo Zhang, Chen Zhang, Fang Ma, Dawei Song:
Adaptable Text Matching via Meta-Weight Regulator. 870-879
Topic 12: Knowledge Graphs
- Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao:
Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. 893-903 - Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen:
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. 904-915 - Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun:
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective. 916-926 - Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen:
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding. 927-937 - Peng Wang, Jiangheng Wu, Xiaohang Chen:
Multimodal Entity Linking with Gated Hierarchical Fusion and Contrastive Training. 938-948
Topic 13: Multi- and Cross-modal IR
- Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen, Wei Chu:
CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval. 949-959 - Jialin Tian, Kai Wang, Xing Xu, Zuo Cao, Fumin Shen, Heng Tao Shen:
Multimodal Disentanglement Variational AutoEncoders for Zero-Shot Cross-Modal Retrieval. 960-969 - Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang:
CenterCLIP: Token Clustering for Efficient Text-Video Retrieval. 970-981 - Wentao Tan, Lei Zhu, Weili Guan, Jingjing Li, Zhiyong Cheng:
Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval. 982-991 - Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie:
V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. 992-1001
Topic 14: Multimedia IR
- Xiangteng He, Yulin Pan, Mingqian Tang, Yiliang Lv, Yuxin Peng:
Learn from Unlabeled Videos for Near-duplicate Video Retrieval. 1002-1011 - Yida Zhao, Yuqing Song, Qin Jin:
Progressive Learning for Image Retrieval with Hybrid-Modality Queries. 1012-1021 - Xin Sun, Xuan Wang, Jialin Gao, Qiong Liu, Xi Zhou:
You Need to Read Again: Multi-granularity Perception Network for Moment Retrieval in Videos. 1022-1032 - Ran Cui, Tianwen Qian, Pai Peng, Elena Daskalaki, Jingjing Chen, Xiaowei Guo, Huyang Sun, Yu-Gang Jiang:
Video Moment Retrieval from Text Queries via Single Frame Annotation. 1033-1043
Topic 15: NLP and Semantics
- Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, Suge Wang:
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance. 1044-1054 - Fangzhi Xu, Jun Liu, Qika Lin, Yudai Pan, Lingling Zhang:
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. 1055-1065 - Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. 1066-1076 - Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng:
Contrastive Learning with Hard Negative Entities for Entity Set Expansion. 1077-1086 - Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen:
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate. 1087-1097 - Li Lin, Yixin Cao, Lifu Huang, Shu'ang Li, Xuming Hu, Lijie Wen, Jianmin Wang:
What Makes the Story Forward?: Inferring Commonsense Explanations as Prompts for Future Event Generation. 1098-1109 - Rui Li, Wenlin Zhao, Cheng Yang, Sen Su:
A Dual-Expert Framework for Event Argument Extraction. 1110-1121 - Jiawei Sheng, Rui Sun, Shu Guo, Shiyao Cui, Jiangxia Cao, Lihong Wang, Tingwen Liu, Hongbo Xu:
CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. 1122-1132
Topic 16: POI and News Recommendations
- Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. 1133-1143 - Song Yang, Jiamou Liu, Kaiqi Zhao:
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. 1144-1153 - Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang:
Learning Graph-based Disentangled Representations for Next POI Recommendation. 1154-1163 - Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. 1164-1173 - Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong:
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. 1174-1184 - Shansan Gong, Kenny Q. Zhu:
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation. 1185-1195