ACM International Conference on Research and Development in Information Retrieval
SIGIR
A*
CORE rank
CORE rank (raw)
A*
Acceptance rate
20.1% (2024 full papers)
Fields of research
Data Management and Data Science
Papers indexed
8,311
1971–2026
Papers per year
1971685 peak2026
Most published authors
SIGIR papers
8,311 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Enhancing Criminal Case Matching through Diverse Legal Factors. | Jie Zhao, Ziyu Guan, Wei Zhao, Yue Jiang |
| 2024 | COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks. | Lili Zhao, Qi Liu, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, Chao Song |
| 2024 | Untargeted Adversarial Attack on Knowledge Graph Embeddings. | Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu |
| 2024 | GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim |
| 2024 | TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim |
| 2024 | SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. | Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou |
| 2024 | FineRec: Exploring Fine-grained Sequential Recommendation. | Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma |
| 2024 | Disentangling ID and Modality Effects for Session-based Recommendation. | Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma |
| 2024 | USimAgent: Large Language Models for Simulating Search Users. | Erhan Zhang, Xingzhu Wang, Peiyuan Gong, Yankai Lin, Jiaxin Mao |
| 2024 | Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context. | Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang |
| 2024 | Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering. | Yi Zhang, Lei Sang, Yiwen Zhang |
| 2024 | Deep Pattern Network for Click-Through Rate Prediction. | Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li |
| 2024 | ModelGalaxy: A Versatile Model Retrieval Platform. | Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu |
| 2024 | Generative Retrieval via Term Set Generation. | Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao |
| 2024 | EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation. | Shaorun Zhang, Zhiyu He, Ziyi Ye, Peijie Sun, Qingyao Ai, Min Zhang, Yiqun Liu |
| 2024 | Universal Adversarial Perturbations for Vision-Language Pre-trained Models. | Peng-Fei Zhang, Zi Huang, Guangdong Bai |
| 2024 | Reinforcing Long-Term Performance in Recommender Systems with User-Oriented Exploration Policy. | Changshuo Zhang, Sirui Chen, Xiao Zhang, Sunhao Dai, Weijie Yu, Jun Xu |
| 2024 | LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. | Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng |
| 2024 | NativE: Multi-modal Knowledge Graph Completion in the Wild. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2024 | Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition. | Xinghua Zhang, Gaode Chen, Shiyao Cui, Jiawei Sheng, Tingwen Liu, Hongbo Xu |
| 2024 | M | Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | Multi-Layer Ranking with Large Language Models for News Source Recommendation. | Wenjia Zhang, Lin Gui, Rob Procter, Yulan He |
| 2024 | Are Large Language Models Good at Utility Judgments? | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | Capability-aware Prompt Reformulation Learning for Text-to-Image Generation. | Jingtao Zhan, Qingyao Ai, Yiqun Liu, Jia Chen, Shaoping Ma |
| 2024 | UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching. | Quanxing Zha, Xin Liu, Yiu-ming Cheung, Xing Xu, Nannan Wang, Jianjia Cao |
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Comparable venues
Other A*/A conferences filed under the same field of research.
- ACIKMACM International Conference on Information and Knowledge Management
- A*ICDEInternational Conference on Data Engineering
- A*KDDACM International Conference on Knowledge Discovery and Data Mining
- A*ICDMIEEE International Conference on Data Mining
- A*SIGMODACM Special Interest Group on Management of Data Conference
- AICDARIEEE International Conference on Document Analysis and Recognition
- ACaiSEInternational Conference on Advanced Information Systems Engineering
- A*VLDBInternational Conference on Very Large Databases