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ORCID46th SIGIR 2023: Taipei, Taiwan
- Hsin-Hsi Chen, Wei-Jou (Edward) Duh, Hen-Hsen Huang, Makoto P. Kato, Josiane Mothe, Barbara Poblete:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023. ACM 2023, ISBN 978-1-4503-9408-6
Keynote Talks
- Marc Najork
:
Generative Information Retrieval. 1 - Chih-Jen Lin:
On the "Rough Use" of Machine Learning Techniques. 2 - Ranjitha Kumar:
Bridging Quantitative and Qualitative Digital Experience Testing. 3-4 - Ryen W. White:
Tasks, Copilots, and the Future of Search. 5-6
Session 1 - Unbiased and Fairness
- Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang:
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. 7-17 - Fatemeh Sarvi, Ali Vardasbi, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke:
On the Impact of Outlier Bias on User Clicks. 18-27 - Mengyue Yang, Jun Wang, Jean-Francois Ton:
Rectifying Unfairness in Recommendation Feedback Loop. 28-37 - Tingting Liang, Yuanqing Zhang, Qianhui Di, Congying Xia, Youhuizi Li, Yuyu Yin:
Contrastive Box Embedding for Collaborative Reasoning. 38-47 - Andrés Hoyos Idrobo:
Learning to Re-rank with Constrained Meta-Optimal Transport. 48-57
Session 2 - Sequential Recommendation - Part 1
- Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. 58-67 - Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park:
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation. 68-77 - Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. 78-88 - Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. 89-98 - Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao:
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. 99-109
Session 3 - Dense Retrieval
- Alireza Salemi, Juan Altmayer Pizzorno, Hamed Zamani:
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering. 110-120 - Hansi Zeng, Surya Kallumadi, Zaid Alibadi, Rodrigo Frassetto Nogueira, Hamed Zamani:
A Personalized Dense Retrieval Framework for Unified Information Access. 121-130 - Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao:
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. 131-140 - Wei Zhong, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin:
One Blade for One Purpose: Advancing Math Information Retrieval using Hybrid Search. 141-151 - Hrishikesh Kulkarni, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
Lexically-Accelerated Dense Retrieval. 152-162 - Hamed Zamani, Michael Bendersky:
Multivariate Representation Learning for Information Retrieval. 163-173
Session 4 - Language Models
- Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li:
Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning. 174-184 - Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu:
MGeo: Multi-Modal Geographic Language Model Pre-Training. 185-194 - Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie:
Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. 195-204 - Fang Guo, Yun Luo, Linyi Yang, Yue Zhang:
SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. 205-215 - Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert:
Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. 216-226 - Zizhuo Zhang, Bang Wang:
Prompt Learning for News Recommendation. 227-237
Session 5 - Exposure and Popularity Bias
- Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. 238-248 - Shashank Gupta, Harrie Oosterhuis, Maarten de Rijke:
Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization. 249-258 - Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu, Hongbo Xu:
HDNR: A Hyperbolic-Based Debiased Approach for Personalized News Recommendation. 259-268 - Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang:
Measuring Item Global Residual Value for Fair Recommendation. 269-278
Session 6 - Sequential Recommendation - Part 2
- Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributionally Robust Sequential Recommnedation. 279-288 - Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. 289-299 - Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang, Chenliang Li:
Poisoning Self-supervised Learning Based Sequential Recommendations. 300-310 - Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li:
Towards Multi-Interest Pre-training with Sparse Capsule Network. 311-320 - Yaowen Ye, Lianghao Xia, Chao Huang:
Graph Masked Autoencoder for Sequential Recommendation. 321-330 - Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang:
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. 331-340
Session 7 - Knowledge Graphs for Recommendation
- Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong:
Single-shot Feature Selection for Multi-task Recommendations. 341-351 - Qian Chen, Zhiqiang Guo, Jianjun Li, Guohui Li:
Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation. 352-361 - Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu, Yunjun Gao:
Knowledge-refined Denoising Network for Robust Recommendation. 362-371 - Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan, Fanyu Kong:
Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation. 372-382
Session 8 - POI Recommendation
- Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, Dongjin Yu:
EEDN: Enhanced Encoder-Decoder Network with Local and Global Context Learning for POI Recommendation. 383-392 - Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu:
Adaptive Graph Representation Learning for Next POI Recommendation. 393-402 - Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu:
Spatio-Temporal Hypergraph Learning for Next POI Recommendation. 403-412 - Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng, Dongxiao Yu:
Fine-Grained Preference-Aware Personalized Federated POI Recommendation with Data Sparsity. 413-422 - Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng, Hongzhi Yin:
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation. 423-432
Session 9 - Music, video, Social Media
- Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li:
Learning Fine-grained User Interests for Micro-video Recommendation. 433-442 - Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. 443-452 - Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. 453-463 - Walid Bendada, Guillaume Salha-Galvan, Thomas Bouabça, Tristan Cazenave:
A Scalable Framework for Automatic Playlist Continuation on Music Streaming Services. 464-474 - Seong-Min Kang, Yoon-Sik Cho:
MEME: Multi-Encoder Multi-Expert Framework with Data Augmentation for Video Retrieval. 475-484 - Yuhan Liu, Zhaoxuan Tan, Heng Wang, Shangbin Feng, Qinghua Zheng, Minnan Luo:
BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts. 485-495
Session 10 - Sparsity Problem
- Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. 496-505 - Zhihao Wen, Yuan Fang:
Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. 506-516 - Yu Tian, Bofang Li, Si Chen, Xubin Li, Hongbo Deng, Jian Xu, Bo Zheng, Qian Wang, Chenliang Li:
Multi-Scenario Ranking with Adaptive Feature Learning. 517-526 - Heeyoon Yang, YunSeok Choi, Gahyung Kim, Jee-Hyong Lee:
LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup. 527-536 - Naoto Ohsaka, Riku Togashi:
Curse of "Low" Dimensionality in Recommender Systems. 537-547 - Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang:
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. 548-557
Session 11 - Evaluation
- Romain Deffayet, Philipp Hager, Jean-Michel Renders, Maarten de Rijke:
An Offline Metric for the Debiasedness of Click Models. 558-568 - Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen:
Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models. 569-579 - Harrisen Scells, Ferdinand Schlatt, Martin Potthast:
Smooth Operators for Effective Systematic Review Queries. 580-590
Session 12 - Knowledge Graphs - Part 1
- Jingyun Xu, Yi Cai:
Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition. 591-600 - Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. 601-611 - Ye Yuan, Delong Ma, Anbiao Wu, Jianbin Qin:
Subgraph Search over Neural-Symbolic Graphs. 612-621 - Jiasheng Zhang, Jie Shao, Bin Cui:
StreamE: Learning to Update Representations for Temporal Knowledge Graphs in Streaming Scenarios. 622-631
Session 13 - Conversational Search and Recommendation
- Paul Owoicho, Ivan Sekulic, Mohammad Aliannejadi, Jeffrey Dalton, Fabio Crestani:
Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond. 632-642 - Philipp Christmann, Rishiraj Saha Roy, Gerhard Weikum:
Explainable Conversational Question Answering over Heterogeneous Sources via Iterative Graph Neural Networks. 643-653 - Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu:
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. 654-664
Session 14 - Efficiency
- Washington Cunha, Celso França, Guilherme Fonseca, Leonardo Rocha, Marcos André Gonçalves:
An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification. 665-674 - Qiang He, Siyu Tan, Feifei Chen, Xiaolong Xu, Lianyong Qi, Xinhong Hei, Hai Jin, Yun Yang:
EDIndex: Enabling Fast Data Queries in Edge Storage Systems. 675-685 - Rong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei, Heyan Huang:
Data-Aware Proxy Hashing for Cross-modal Retrieval. 686-696 - Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. 697-707 - Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng, Hongzhi Yin:
Continuous Input Embedding Size Search For Recommender Systems. 708-717
Session 15 - Crowdsourced and Annotation
- Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff:
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. 718-728 - Dan Li, Maarten de Rijke:
Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. 729-738 - Zhe Fu, Xi Niu, Li Yu:
Wisdom of Crowds and Fine-Grained Learning for Serendipity Recommendations. 739-748 - Shucheng Li, Boyu Chang, Bo Yang, Hao Wu, Sheng Zhong, Fengyuan Xu:
Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English. 749-759 - Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar:
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. 760-769
Session 16 - Question Answering
- Qin Yuan, Ye Yuan, Zhenyu Wen, He Wang, Shiyuan Tang:
An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake. 770-780 - Farah Atif, Ola El Khatib, Djellel Eddine Difallah:
BeamQA: Multi-hop Knowledge Graph Question Answering with Sequence-to-Sequence Prediction and Beam Search. 781-790 - Wei Peng, Wanshui Li, Yue Hu:
Leader-Generator Net: Dividing Skill and Implicitness for Conquering FairytaleQA. 791-801
Session 17 - Temporal & Dynamic - Part 1
- Susik Yoon, Dongha Lee, Yunyi Zhang, Jiawei Han:
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding. 802-811 - Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai:
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. 812-821 - Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen:
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. 822-831 - Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. 832-841 - Mingchen Li, Lifu Huang:
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. 842-851
Session 18 - Knowledge Graphs - Part 2
- Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu:
Weighted Knowledge Graph Embedding. 867-877 - Bin Shang, Yinliang Zhao, Di Wang, Jun Liu:
Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. 878-888 - Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, Yong Dou:
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction. 889-899 - Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. 900-910 - Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen:
Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. 911-921
Session 19 - Implicit Feedback and Sessions
- Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin:
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. 922-931 - Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, Zhaochun Ren:
Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. 932-941 - Yushun Dong, Jundong Li, Tobias Schnabel:
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? 942-952 - Shengjie Ma, Chong Chen, Jiaxin Mao, Qi Tian, Xuhui Jiang:
Session Search with Pre-trained Graph Classification Model. 953-962 - Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao:
Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space. 963-972
Session 20 - Personalized Models
- Ning Pang, Xiang Zhao, Weixin Zeng, Ji Wang, Weidong Xiao:
Personalized Federated Relation Classification over Heterogeneous Texts. 973-982 - Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang:
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. 983-992 - Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani:
Editable User Profiles for Controllable Text Recommendations. 993-1003 - Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng, Daiyue Xue:
Intent-aware Ranking Ensemble for Personalized Recommendation. 1004-1013 - Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma:
Personalized Retrieval over Millions of Items. 1014-1022
Session 21 - Legal, Medicine & Health
- Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
ML-LJP: Multi-Law Aware Legal Judgment Prediction. 1023-1034 - Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian:
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. 1035-1044 - Silvia Casola, Alberto Lavelli, Horacio Saggion:
Creating a Silver Standard for Patent Simplification. 1045-1055 - Anat Hashavit, Hongning Wang, Tamar Stern, Sarit Kraus:
Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search. 1056-1065 - Runcong Zhao, Lin Gui, Yulan He:
Cone: Unsupervised Contrastive Opinion Extraction. 1066-1075
Session 22 - Collaborative Filtering
- Guanghui Zhu, Wang Lu, Chunfeng Yuan, Yihua Huang:
AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. 1076-1085