SIGIR

CODEC: Complex Document and Entity Collection

Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton

Comments 10 pages, SIGIR 2022 Preprint

Modality-Balanced Embedding for Video Retrieval

Xun Wang, Bingqing Ke, Xuanping Li, Fangyu Liu, Mingyu Zhang, Xiao Liang, Qiushi Xiao, Cheng Luo, Yue Yu

Comments Accepted by SIGIR-2022, short paper

Journal ref SIGIR, 2022

Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model

Till Kletti, Jean-Michel Renders, Patrick Loiseau

Comments 12 pages, 6 figures, published at SIGIR 2022

COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas

Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, Chuangbai Xiao

Comments Accepted by SIGIR 2022, 11 pages, 9 figures

A Review-aware Graph Contrastive Learning Framework for Recommendation

Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li

Comments Accepted by SIGIR 2022

Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?

Longquan Jiang, Ricardo Usbeck

Comments Accepted by SIGIR '22 (Resource Track)

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example

Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan

Comments Accept at SIGIR Industry Track 2022

Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective

Ying Zhou, Xuanang Chen, Ben He, Zheng Ye, Le Sun

Comments Accepted by SIGIR 2022, full paper

Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation

Shansan Gong, Kenny Q. Zhu

Comments Accepted by SIGIR 2022 main conference

How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?

Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon

Comments Accepted at SIGIR 2022

State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study

Jin Huang, Harrie Oosterhuis, Bunyamin Cetinkaya, Thijs Rood, Maarten de Rijke

Comments SIGIR 2022

Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers

Maurizio Ferrari Dacrema, Fabio Moroni, Riccardo Nembrini, Nicola Ferro, Guglielmo Faggioli, Paolo Cremonesi

Comments Source code is available on Github SIGIR22_QuantumFeatureSelection.git" target="_blank" rel="noopener">https://github.com/qcpolimi/SIGIR22_QuantumFeatureSelection.git

Journal ref Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation

Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin

Comments This paper has bee accepted as a conference paper at SIGIR 2022

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation

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

Comments 10 pages. To Appear in SIGIR'22

Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding

Mingyang Chen, Wen Zhang, Yushan Zhu, Hongting Zhou, Zonggang Yuan, Changliang Xu, Huajun Chen

Comments SIGIR 2022

Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling

Xin Chen, Qingtao Tang, Ke Hu, Yue Xu, Shihang Qiu, Jia Cheng, Jun Lei

Comments Accepted by SIGIR 2022

Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings

Georgios Sidiropoulos, Evangelos Kanoulas

Comments Accepted at the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

P^3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning

Xiaomeng Hu, Shi Yu, Chenyan Xiong, Zhenghao Liu, Zhiyuan Liu, Ge Yu

Comments Accepted by SIGIR 2022

Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems

Shuo Zhang, Mu-Chun Wang, Krisztian Balog

Comments Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Retrieval-Enhanced Machine Learning

Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky

Comments To appear in proceedings of ACM SIGIR 2022

CenterCLIP: Token Clustering for Efficient Text-Video Retrieval

Shuai Zhao, Linchao Zhu, Xiaohan Wang, Yi Yang

Comments accepted by SIGIR 2022, code is at https://github.com/mzhaoshuai/CenterCLIP

Biographical: A Semi-Supervised Relation Extraction Dataset

Alistair Plum, Tharindu Ranasinghe, Spencer Jones, Constantin Orasan, Ruslan Mitkov

Comments Accepted to ACM SIGIR 2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction

Xiaoxiao Xu, Zhiwei Fang, Qian Yu, Ruoran Huang, \\Chaosheng Fan, Yong Li, Yang He, Changping Peng, Zhangang Lin, Jingping Shao

Comments In proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22), July 11--15, 2022, Madrid, Spain. 5 pages

User-controllable Recommendation Against Filter Bubbles

Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua

Comments Accepted by SIGIR 2022

Journal ref Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022)

Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking

Ali Vardasbi, Fatemeh Sarvi, Maarten de Rijke

Comments SIGIR 2022

Curriculum Learning for Dense Retrieval Distillation

Hansi Zeng, Hamed Zamani, Vishwa Vinay

Comments Accepted to SIGIR 2022

Learning-to-Rank at the Speed of Sampling: Plackett-Luce Gradient Estimation With Minimal Computational Complexity

Harrie Oosterhuis

Comments SIGIR 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings

Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie

Comments Accepted by SIGIR 2022

AutoLossGen: Automatic Loss Function Generation for Recommender Systems

Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang

Comments 12 pages, 6 figures. Conference: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22)

Hypergraph Contrastive Collaborative Filtering

Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang

Comments This paper has been published as a full paper at SIGIR 2022