SIGIR

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context

Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang

Comments Accepted by SIGIR 2024, 10 pages, 5 figures, 5 tables

Journal ref SIGIR 2024

Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models

Vinay Setty

Comments Accepted in SIGIR 2024 (industry track)

Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems

Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke

Comments SIGIR 2024

Ranked List Truncation for Large Language Model-based Re-Ranking

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

Comments Accepted for publication as a long paper at SIGIR 2024

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation

Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han

Comments This paper has been accepted by SIGIR 2024

A Taxation Perspective for Fair Re-ranking

Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

Comments Accepted in SIGIR 2024

MealRec$^+$: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness

Ming Li, Lin Li, Xiaohui Tao, Jimmy Xiangji Huang

Comments Accepted by SIGIR 2024

I3: Intent-Introspective Retrieval Conditioned on Instructions

Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang

Comments Accepted by SIGIR 2024

Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval

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

Comments ACM SIGIR 2024

Graph Signal Diffusion Model for Collaborative Filtering

Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong

Comments 11 pages, 8 figures, accepted by SIGIR 2024

A Reproducibility Study of PLAID

Sean MacAvaney, Nicola Tonellotto

Comments SIGIR 2024 (reproducibility track)

Planning Ahead in Generative Retrieval: Guiding Autoregressive Generation through Simultaneous Decoding

Hansi Zeng, Chen Luo, Hamed Zamani

Comments Accepted to SIGIR 2024

An Integrated Data Processing Framework for Pretraining Foundation Models

Yiding Sun, Feng Wang, Yutao Zhu, Wayne Xin Zhao, Jiaxin Mao

Comments 6 pages, 2 figures; accepted by SIGIR'24 demo track

Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation

Jin-Duk Park, Yong-Min Shin, Won-Yong Shin

Comments 5 pages, 4 figures, 4 tables; 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) (to appear) (Please cite our conference version.)

Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity

Yu Hou, Jin-Duk Park, Won-Yong Shin

Comments 10 pages, 6 figures, 4 tables; 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024) (to appear) (Please cite our conference version.)

SPLATE: Sparse Late Interaction Retrieval

Thibault Formal, Stéphane Clinchant, Hervé Déjean, Carlos Lassance

Comments To appear at SIGIR'24 (short paper track)

Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions

Soumyadeep Roy, Aparup Khatua, Fatemeh Ghoochani, Uwe Hadler, Wolfgang Nejdl, Niloy Ganguly

Comments 10 pages, 4 figures. Accepted for publication at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)

Towards Human-centered Proactive Conversational Agents

Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua

Comments Accepted by SIGIR 2024 (Perspectives Track)

GOLF: Goal-Oriented Long-term liFe tasks supported by human-AI collaboration

Ben Wang

Journal ref Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)

Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization

Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang

Comments Accepted by SIGIR 2024

UniSAR: Modeling User Transition Behaviors between Search and Recommendation

Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, Yang Song

Comments Accepted by SIGIR 2024

Explicitly Integrating Judgment Prediction with Legal Document Retrieval: A Law-Guided Generative Approach

Weicong Qin, Zelin Cao, Weijie Yu, Zihua Si, Sirui Chen, Jun Xu

Comments Accepted by SIGIR'2024

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment

Xinyu Zhu, Lilin Zhang, Ning Yang

Comments This paper has been accepted by SIGIR '24

Contextual Font Recommendations based on User Intent

Sanat Sharma, Jayant Kumar, Jing Zheng, Tracy Holloway King

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

Journal ref SIGIR Workshop on eCommerce,2023

Contextual Multilingual Spellchecker for User Queries

Sanat Sharma, Josep Valls-Vargas, Tracy Holloway King, Francois Guerin, Chirag Arora

Comments 5 pages, In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23)

A Conceptual Framework for Conversational Search and Recommendation: Conceptualizing Agent-Human Interactions During the Conversational Search Process

Leif Azzopardi, Mateusz Dubiel, Martin Halvey, Jeffery Dalton

Journal ref The Second International Workshop on Conversational Approaches to Information Retrieval (CAIR 2018) at ACM SIGIR

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Shuyuan Xu, Wenyue Hua, Yongfeng Zhang

Comments In SIGIR 2024 Resource & Reproducibility Track

YAGO 4.5: A Large and Clean Knowledge Base with a Rich Taxonomy

Fabian Suchanek, Mehwish Alam, Thomas Bonald, Lihu Chen, Pierre-Henri Paris, Jules Soria

Comments Published at SIGIR 2024, cite that paper in scientific articles

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement

Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao

Comments accepted to SIGIR 2024 as a Full Research Paper

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process

Zhongxiang Sun, Zihua Si, Xiao Zhang, Xiaoxue Zang, Yang Song, Hongteng Xu, Jun Xu

Comments Accepted by SIGIR 2024