SIGIR

Publications

2024

Ge Chen, Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu, Cuicui Luo
IdmGAE: Importance-Inspired Dynamic Masking for Graph Autoencoders. SIGIR (2024)
Eugene Yang, Thomas Jänich, James Mayfield, Dawn J. Lawrie
Language Fairness in Multilingual Information Retrieval. SIGIR (2024)
Xiaolong Xu, Hongsheng Dong, Lianyong Qi, Xuyun Zhang, Haolong Xiang, Xiaoyu Xia, Yanwei Xu, Wanchun Dou
CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation. SIGIR (2024)
Ekaterina Khramtsova, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Leveraging LLMs for Unsupervised Dense Retriever Ranking. SIGIR (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR (2024)
Peiyuan Gong, Jiamian Li, Jiaxin Mao
CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models. SIGIR (2024)
Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Are Large Language Models Good at Utility Judgments? SIGIR (2024)
Yingrui Yang, Yifan Qiao, Shanxiu He, Tao Yang
Weighted KL-Divergence for Document Ranking Model Refinement. SIGIR (2024)
Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
GATS: Generative Audience Targeting System for Online Advertising. SIGIR (2024)
Jack McKechnie, Graham McDonald, Craig Macdonald
Bi-Objective Negative Sampling for Sensitivity-Aware Search. SIGIR (2024)
Ekaterina Khramtsova, Teerapong Leelanupab, Shengyao Zhuang, Mahsa Baktashmotlagh, Guido Zuccon
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection. SIGIR (2024)
Antonio Mallia, Torsten Suel, Nicola Tonellotto
Faster Learned Sparse Retrieval with Block-Max Pruning. SIGIR (2024)
Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. SIGIR (2024)
Pancheng Wang, Shasha Li, Dong Li, Kehan Long, Jintao Tang, Ting Wang
Disentangling Instructive Information from Ranked Multiple Candidates for Multi-Document Scientific Summarization. SIGIR (2024)
Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang
MACRec: A Multi-Agent Collaboration Framework for Recommendation. SIGIR (2024)
Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Amey Bhilegaonkar, Huan Liu
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement. SIGIR (2024)
Yu Hou, Jin-Duk Park, Won-Yong Shin
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity. SIGIR (2024)
Shaodan Zhai, Yuwei Chen, Yixue Li
Embedding Based Deduplication in E-commerce AutoComplete. SIGIR (2024)
Haitao Li, Yunqiu Shao, Yueyue Wu, Qingyao Ai, Yixiao Ma, Yiqun Liu
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset. SIGIR (2024)
Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guido Zuccon, Benno Stein, Matthias Hagen, Martin Potthast
Evaluating Generative Ad Hoc Information Retrieval. SIGIR (2024)
Surya Kallumadi, Yubin Kim, Tracy Holloway King, Maarten de Rijke, Vamsi Salaka
SIGIR 2024 Workshop on eCommerce (ECOM24). SIGIR (2024)
Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR (2024)
Yang Li, Qi'ao Zhao, Chen Lin, Jinsong Su, Zhilin Zhang
Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems. SIGIR (2024)
Dan Luo, Lixin Zou, Qingyao Ai, Zhiyu Chen, Chenliang Li, Dawei Yin, Brian D. Davison
Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. SIGIR (2024)
Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang
I3: Intent-Introspective Retrieval Conditioned on Instructions. SIGIR (2024)
Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
Modeling User Fatigue for Sequential Recommendation. SIGIR (2024)
Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu
ModelGalaxy: A Versatile Model Retrieval Platform. SIGIR (2024)
Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. SIGIR (2024)
Hamed Zamani, Michael Bendersky
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. SIGIR (2024)
Nathaniel Rollings
Mosaicing Prevention in Declassification. SIGIR (2024)
Viju Sudhi, Sinchana Ramakanth Bhat, Max Rudat, Roman Teucher
RAG-Ex: A Generic Framework for Explaining Retrieval Augmented Generation. SIGIR (2024)
Wentao Ouyang, Rui Dong, Ri Tao, Xiangzheng Liu
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction. SIGIR (2024)
Yu Li, Yi Zhang, Zimu Zhou, Qiang Li
DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation. SIGIR (2024)
Xinwei Li, Li Lin, Shuai Wang, Chen Qian
Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models. SIGIR (2024)
Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. SIGIR (2024)
Haojie Li, Wei Wei, Guanfeng Liu, Jinhuan Liu, Feng Jiang, Junwei Du
Intent Distribution based Bipartite Graph Representation Learning. SIGIR (2024)
Zheng Gong, Ying Sun
Graph Reasoning Enhanced Language Models for Text-to-SQL. SIGIR (2024)
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang
GraphGPT: Graph Instruction Tuning for Large Language Models. SIGIR (2024)
Jiwoo Kang, Taewan Kim, Young-ho Park
Convex Feature Embedding for Face and Voice Association. SIGIR (2024)
Ting Zhong, Jienan Zhang, Zhangtao Cheng, Fan Zhou, Xueqin Chen
Information Diffusion Prediction via Cascade-Retrieved In-context Learning. SIGIR (2024)
Yang Yang, Haoyu Shi, Huaiwen Zhang
Hierarchical Semantics Alignment for 3D Human Motion Retrieval. SIGIR (2024)
Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, Maarten de Rijke
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. SIGIR (2024)
Huy Dao, Yang Deng, Dung D. Le, Lizi Liao
Broadening the View: Demonstration-augmented Prompt Learning for Conversational Recommendation. SIGIR (2024)
Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR (2024)
Jon Degenhardt, Tracy Holloway King
Are Embeddings Enough? SIRIP Panel on the Future of Embeddings in Industry IR Systems. SIGIR (2024)
Clemencia Siro, Mohammad Aliannejadi, Maarten de Rijke
Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs. SIGIR (2024)
Yanran Tang, Ruihong Qiu, Hongzhi Yin, Xue Li, Zi Huang
CaseLink: Inductive Graph Learning for Legal Case Retrieval. SIGIR (2024)
Enqiang Xu, Yiming Qiu, Junyang Bai, Ping Zhang, Dadong Miao, Songlin Wang, Guoyu Tang, Lin Liu, Mingming Li
Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model. SIGIR (2024)
Kang Zhao, Xinyu Zhao, Zhipeng Jin, Yi Yang, Wen Tao, Cong Han, Shuanglong Li, Lin Liu
Enhancing Baidu Multimodal Advertisement with Chinese Text-to-Image Generation via Bilingual Alignment and Caption Synthesis. SIGIR (2024)
Gordon V. Cormack, Maura R. Grossman, Andrew Harbison, Tom O'Halloran, Bronagh McManus
Unbiased Validation of Technology-Assisted Review for eDiscovery. SIGIR (2024)