SIGIR

Keyphrases

Publications

2023

Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
Collaborative Residual Metric Learning. SIGIR (2023)
Yawen Zeng, Keyu Pan, Ning Han
RewardTLG: Learning to Temporally Language Grounding from Flexible Reward. SIGIR (2023)
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR (2023)
Alexander K. Taylor, Nuan Wen, Po-Nien Kung, Jiaao Chen, Violet Peng, Wei Wang
Where Does Your News Come From? Predicting Information Pathways in Social Media. SIGIR (2023)
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. SIGIR (2023)
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. SIGIR (2023)
Yimo Ren, Jinfa Wang, Hong Li, Hongsong Zhu, Limin Sun
DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things. SIGIR (2023)
Kaixin Ji, Damiano Spina, Danula Hettiachchi, Flora Dilys Salim, Falk Scholer
Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. SIGIR (2023)
Dan Li, Maarten de Rijke
Extending Label Aggregation Models with a Gaussian Process to Denoise Crowdsourcing Labels. SIGIR (2023)
Siddhant Kharbanda, Atmadeep Banerjee, Devaansh Gupta, Akash Palrecha, Rohit Babbar
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification. SIGIR (2023)
Duzhen Zhang, Yahan Yu, Feilong Chen, Xiuyi Chen
Decomposing Logits Distillation for Incremental Named Entity Recognition. SIGIR (2023)
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR (2023)
Hongxiang Lin, Ruiqi Jia, Xiaoqing Lyu
Gated Attention with Asymmetric Regularization for Transformer-based Continual Graph Learning. SIGIR (2023)
Jheng-Hong Yang, Carlos Lassance, Rafael Sampaio de Rezende, Krishna Srinivasan, Miriam Redi, Stéphane Clinchant, Jimmy Lin
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation. SIGIR (2023)
Shuai Wang, Guido Zuccon
Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. SIGIR (2023)
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. SIGIR (2023)
Siqi Han, Yu Wang, Xuesong Lu
ErrorCLR: Semantic Error Classification, Localization and Repair for Introductory Programming Assignments. SIGIR (2023)
Gal Peretz, Mousa Arraf, Kira Radinsky
What If: Generating Code to Answer Simulation Questions in Chemistry Texts. SIGIR (2023)
Barbara Rychalska, Szymon Lukasik, Jacek Dabrowski
Synerise Monad: A Foundation Model for Behavioral Event Data. SIGIR (2023)
Liu Yu, Yuzhou Mao, Jin Wu, Fan Zhou
Mixup-based Unified Framework to Overcome Gender Bias Resurgence. SIGIR (2023)
Shaochuan Lin, Jiayan Pei, Taotao Zhou, Hengxu He, Jia Jia, Ning Hu
Exploring the Spatiotemporal Features of Online Food Recommendation Service. SIGIR (2023)
Shi Yu, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu
OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit. SIGIR (2023)
Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig MacDonald
Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. SIGIR (2023)
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. SIGIR (2023)
Maciej Rybinski, Stephen Wan, Sarvnaz Karimi, Cécile Paris, Brian Jin, Neil I. Huth, Peter J. Thorburn, Dean P. Holzworth
SciHarvester: Searching Scientific Documents for Numerical Values. SIGIR (2023)
Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. SIGIR (2023)
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. SIGIR (2023)
Daniel Vera Nieto, Saikishore Kalloori, Fabio Zund, Clara Fernandez-Labrador, Marc Willhaus, Severin Klingler, Markus H. Gross
A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals. SIGIR (2023)
Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner
Bayesian Knowledge-driven Critiquing with Indirect Evidence. SIGIR (2023)
Andreas Chari, Sean MacAvaney, Iadh Ounis
On the Effects of Regional Spelling Conventions in Retrieval Models. SIGIR (2023)
Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke
Query Performance Prediction: From Ad-hoc to Conversational Search. SIGIR (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. SIGIR (2023)
Ruixue Lian, Sixing Lu, Clint Solomon, Gustavo Aguilar, Pragaash Ponnusamy, Jialong Han, Chengyuan Ma, Chenlei Guo
PersonalTM: Transformer Memory for Personalized Retrieval. SIGIR (2023)
Kaize Ding, Albert Jiongqian Liang, Bryan Perozzi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer. SIGIR (2023)
Bolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen
RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion. SIGIR (2023)
Petra Galuscáková, Romain Deveaud, Gabriela González Sáez, Philippe Mulhem, Lorraine Goeuriot, Florina Piroi, Martin Popel
LongEval-Retrieval: French-English Dynamic Test Collection for Continuous Web Search Evaluation. SIGIR (2023)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler
[email protected] 2023: The First Workshop on Generative Information Retrieval. SIGIR (2023)
Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai, Chuan-Ju Wang
Improving Conversational Passage Re-ranking with View Ensemble. SIGIR (2023)
Yaoqi Liu, Cheng Yang, Tianyu Zhao, Hui Han, Siyuan Zhang, Jing Wu, Guangyu Zhou, Hai Huang, Hui Wang, Chuan Shi
GammaGL: A Multi-Backend Library for Graph Neural Networks. SIGIR (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. SIGIR (2023)
Xiao Wang, Craig Macdonald, Nicola Tonellotto, Iadh Ounis
Reproducibility, Replicability, and Insights into Dense Multi-Representation Retrieval Models: from ColBERT to Col. SIGIR (2023)
Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR (2023)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR (2023)
Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu
Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce. SIGIR (2023)
Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. SIGIR (2023)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR (2023)
Wojciech Kusa, Aldo Lipani, Petr Knoth, Allan Hanbury
VoMBaT: A Tool for Visualising Evaluation Measure Behaviour in High-Recall Search Tasks. SIGIR (2023)
Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR (2023)
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. SIGIR (2023)
Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. SIGIR (2023)