SIGIR

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework

Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi

Comments Accepted by SIGIR 2023

Generating Natural Language Queries for More Effective Systematic Review Screening Prioritisation

Shuai Wang, Harrisen Scells, Martin Potthast, Bevan Koopman, Guido Zuccon

Comments Preprints for Accepted paper in SIGIR-AP-2023, note that this is updated from ACM published paper. The working title was wrong in the ACM-published version due to a bug in data preprocessing; however, this does not have any influence on the final conclusion/observation made from the paper

XWalk: Random Walk Based Candidate Retrieval for Product Search

Jon Eskreis-Winkler, Yubin Kim, Andrew Stanton

Journal ref Proceedings of ACM 2023 SIGIR Workshop on eCommerce (SIGIR eCom23)

Sinkhorn Transformations for Single-Query Postprocessing in Text-Video Retrieval

Konstantin Yakovlev, Gregory Polyakov, Ilseyar Alimova, Alexander Podolskiy, Andrey Bout, Sergey Nikolenko, Irina Piontkovskaya

Comments SIGIR 2023

CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models

Yanyu Chen, Yao Yao, Wai Kin Victor Chan, Li Xiao, Kai Zhang, Liang Zhang, Yun Ye

Comments 8 pages, 4 figures, 5 tables, Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval Workshop on eCommerce

SortNet: Learning To Rank By a Neural-Based Sorting Algorithm

Leonardo Rigutini, Tiziano Papini, Marco Maggini, Franco Scarselli

Comments The 31st Annual International ACM SIGIR Conference (SIGIR 2008) - Workshop: Learning to Rank for Information Retrieval (LR4IR), Singapore, July 20-24 2008 - ISBN:978-16-05581-64-4

Journal ref Proceedings of The 31st Annual International ACM SIGIR Conference (SIGIR 2008) - Workshop: Learning to Rank for Information Retrieval (LR4IR)

Creating a silver standard for patent simplification

Silvia Casola, Alberto Lavelli, Horacio Saggion

Comments This paper has been published at SIGIR 2023

Minimally Supervised Categorization of Text with Metadata

Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han

Comments 10 pages; Accepted to SIGIR 2020; Some typos fixed

MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation

Kibum Kim, Dongmin Hyun, Sukwon Yun, Chanyoung Park

Comments 9 pages; Accepted by SIGIR 2023

Journal ref SIGIR (2023), 68-77

Editable User Profiles for Controllable Text Recommendation

Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani

Comments SIGIR-2023 paper with extended results

SE-PEF: a Resource for Personalized Expert Finding

Pranav Kasela, Gabriella Pasi, Raffaele Perego

Comments SIGIR-AP '23 Conference paper

Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language

Nicola Messina, Jan Sedmidubsky, Fabrizio Falchi, Tomáš Rebok

Comments SIGIR 2023 (best short paper honorable mention)

Open-Domain Dialogue Quality Evaluation: Deriving Nugget-level Scores from Turn-level Scores

Rikiya Takehi, Akihisa Watanabe, Tetsuya Sakai

Journal ref In Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP `23), November 26-28, 2023, Beijing, China. ACM, New York, NY, USA, 6 pages

Social Media Fashion Knowledge Extraction as Captioning

Yifei Yuan, Wenxuan Zhang, Yang Deng, Wai Lam

Comments Accepted by SIGIR-AP 2023

Retrieving Supporting Evidence for Generative Question Answering

Siqing Huo, Negar Arabzadeh, Charles L. A. Clarke

Comments arXiv admin note: text overlap with arXiv:2306.13781

Journal ref Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region (SIGIR-AP '23), November 26--28, 2023, Beijing, China

Automatic Feature Fairness in Recommendation via Adversaries

Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan

Comments SIGIR-AP'23

How to Index Item IDs for Recommendation Foundation Models

Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang

Comments Accepted as a full paper by ACM SIGIR-AP 2023

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning

Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Comments Accepted by SIGIR 2022, short paper

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen

Comments Accepted by SIGIR 2023

Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion

Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen

Comments Accepted by SIGIR 2022. Fix a severe bug

Modern Baselines for SPARQL Semantic Parsing

Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, Chris Biemann

Comments 5 pages, short paper, SIGIR 2022

Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection

Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

Comments Accepted at SIGIR-AP 2023

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction

Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao

Comments 10 pages, 7 figures, accepted for publication in SIGIR'23

Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning

Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao

Comments Accepted by SIGIR'23, please check the camera-ready version for more details such as the implementation

Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems

Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu, Guannan Zhang

Comments SIGIR '23

Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems

Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo

Comments Accepted to SIGIR'22

Take a Fresh Look at Recommender Systems from an Evaluation Standpoint

Aixin Sun

Comments Accepted for SIGIR 2023 (Perspectives Paper Track)

Journal ref SIGIR 2023

Causal Collaborative Filtering

Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang

Comments Accepted by the 2023 ACM SIGIR International Conference on Theory of Information Retrieval

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong

Comments SIGIR 2023

Product Review Image Ranking for Fashion E-commerce

Sangeet Jaiswal, Dhruv Patel, Sreekanth Vempati, Konduru Saiswaroop

Comments Accepted in Proceedings of ACM SIGIR Workshop on eCommerce (SIGIR eCom'22)