SIGIR

Decomposition and Interleaving for Variance Reduction of Post-click Metrics

Kojiro Iizuka, Yoshifumi Seki, Makoto P. Kato

Comments The 7th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR2021)

Exploring the Viability of Synthetic Query Generation for Relevance Prediction

Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Kazuma Hashimoto, Mike Bendersky, Marc Najork

Comments In Proceedings of ACM SIGIRWorkshop on eCommerce (SIGIR eCom 23)

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation

Junliang Yu, Xin Xia, Tong Chen, Lizhen Cui, Nguyen Quoc Viet Hung, Hongzhi Yin

Comments Extension of our SIGIR'22 paper "Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation", Accepted by TKDE

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects

Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma

Comments Accepted by SIGIR 2023 Resource Track

MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning

Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu

Comments SIGIR 2023, 10 pages

Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval

Gabriel Bénédict, Ruqing Zhang, Donald Metzler

Comments Accepted SIGIR 23 workshop

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training

Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang

Comments SIGIR 2023. The code and data will be published to https://github.com/ritaranx/wander

Journal ref The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

Jacopo Tagliabue, Ciro Greco

Comments Published at SIGIR eCom 2023

The Role of Relevance in Fair Ranking

Aparna Balagopalan, Abigail Z. Jacobs, Asia Biega

Comments Published in SIGIR 2023

Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models

Jiabang He, Yi Hu, Lei Wang, Xing Xu, Ning Liu, Hui Liu, Heng Tao Shen

Comments SIGIR 2023. The code and datasets for our Do-GOOD benchmark can be found at https://github.com/MAEHCM/Do-GOOD

Graph Transformer for Recommendation

Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang

Comments Accepted by SIGIR'2023

Best Prompts for Text-to-Image Models and How to Find Them

Nikita Pavlichenko, Dmitry Ustalov

Comments 13 pages (6 main pages), 7 figures, 4 tables, accepted at SIGIR '23 Short Paper Track

Graph Masked Autoencoder for Sequential Recommendation

Yaowen Ye, Lianghao Xia, Chao Huang

Comments This paper has been published as a full paper at SIGIR 2023

The Information Retrieval Experiment Platform

Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast

Comments 11 pages. To be published in the proceedings of SIGIR 2023

Adapting Learned Sparse Retrieval for Long Documents

Thong Nguyen, Sean MacAvaney, Andrew Yates

Comments SIGIR 2023

Journal ref SIGIR 2023

Prompt Learning to Mitigate Catastrophic Forgetting in Cross-lingual Transfer for Open-domain Dialogue Generation

Lei Liu, Jimmy Xiangji Huang

Comments Accepted for presentation at SIGIR 2023

Multi-behavior Self-supervised Learning for Recommendation

Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai

Comments SIGIR 2023

HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph Transformer

Kaize Ding, Albert Jiongqian Liang, Bryan Perrozi, Ting Chen, Ruoxi Wang, Lichan Hong, Ed H. Chi, Huan Liu, Derek Zhiyuan Cheng

Comments Accepted by SIGIR 2023

JDsearch: A Personalized Product Search Dataset with Real Queries and Full Interactions

Jiongnan Liu, Zhicheng Dou, Guoyu Tang, Sulong Xu

Comments Accepted to SIGIR 2023

A Critical Reexamination of Intra-List Distance and Dispersion

Naoto Ohsaka, Riku Togashi

Comments 10 pages, to appear in 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023)

Curse of "Low" Dimensionality in Recommender Systems

Naoto Ohsaka, Riku Togashi

Comments Accepted by SIGIR'23

It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation

Jaewan Moon, Hye-young Kim, Jongwuk Lee

Comments Accepted by SIGIR 2023

uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering

Jae-woong Lee, Seongmin Park, Mincheol Yoon, Jongwuk Lee

Comments SIGIR 2023

ConQueR: Contextualized Query Reduction using Search Logs

Hye-young Kim, Minjin Choi, Sunkyung Lee, Eunseong Choi, Young-In Song, Jongwuk Lee

Comments In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'23). 6 pages

A Topic-aware Summarization Framework with Different Modal Side Information

Xiuying Chen, Mingzhe Li, Shen Gao, Xin Cheng, Qiang Yang, Qishen Zhang, Xin Gao, Xiangliang Zhang

Comments SIGIR 2023, 10 pages

Query Performance Prediction: From Ad-hoc to Conversational Search

Chuan Meng, Negar Arabzadeh, Mohammad Aliannejadi, Maarten de Rijke

Comments Accepted for publication at SIGIR 2023

When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation

Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen

Comments Accecpted by SIGIR 2023

BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha

Comments SIGIR 2023

From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval

Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu

Comments This paper has been published as a full paper at SIGIR 2023

Dual Semantic Knowledge Composed Multimodal Dialog Systems

Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua

Comments SIGIR 2023