ACM International Conference on Information and Knowledge Management
CIKM
A
CORE rank
CORE rank (raw)
A
Acceptance rate
22.7% (2024 full papers)
Fields of research
Data Management and Data Science · Artificial Intelligence
Papers indexed
10,462
1992–2025
Papers per year
1992852 peak2025
Most published authors
CIKM papers
10,462 records sourced from DBLP. Search titles, filter by year, sort by recency.
| Year | Title | Authors |
|---|---|---|
| 2024 | Retrieval-Oriented Knowledge for Click-Through Rate Prediction. | Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang |
| 2024 | KMCT: | Yuanjun Liu, Guanfeng Liu, Qingzhi Ma, Zhixu Li, Shiting Wen, Lei Zhao, An Liu |
| 2024 | Collaborative Cross-modal Fusion with Large Language Model for Recommendation. | Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang |
| 2024 | Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. | Yichen Liu, Jiawei Chen, Defang Chen, Zhehui Zhou, Yan Feng, Can Wang |
| 2024 | MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs. | Jiantao Li, Jianpeng Qi, Yueling Huang, Lei Cao, Yanwei Yu, Junyu Dong |
| 2024 | Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion. | Jiaqi Li, Xiaoyang Qu, Wenbo Ding, Zihao Zhao, Jianzong Wang |
| 2024 | Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. | Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu |
| 2024 | PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. | Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia |
| 2024 | Enhancing Relevance of Embedding-based Retrieval at Walmart. | Juexin Lin, Sachin Yadav, Feng Liu, Nicholas Rossi, Praveen Reddy Suram, Satya Chembolu, Prijith Chandran, Hrushikesh Mohapatra, Tony Lee, Alessandro Magnani, Ciya Liao |
| 2024 | GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. | Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2024 | Towards Robust Vision Transformer via Masked Adaptive Ensemble. | Fudong Lin, Jiadong Lou, Xu Yuan, Nian-Feng Tzeng |
| 2024 | Bridging Dynamic Factor Models and Neural Controlled Differential Equations for Nowcasting GDP. | Seonkyu Lim, Jeongwhan Choi, Noseong Park, Sang-Ha Yoon, ShinHyuck Kang, Young-Min Kim, Hyunjoong Kang |
| 2024 | Explainable and Coherent Complement Recommendation Based on Large Language Models. | Zelong Li, Yan Liang, Ming Wang, Sungro Yoon, Jiaying Shi, Xin Shen, Xiang He, Chenwei Zhang, Wenyi Wu, Hanbo Wang, Jin Li, Jim Chan, Yongfeng Zhang |
| 2024 | CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient Health State. | Xiang Li, Shunpan Liang, Yu Lei, Chen Li, Yulei Hou, Dashun Zheng, Tengfei Ma |
| 2024 | Privacy-Preserving Graph Embedding based on Local Differential Privacy. | Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang |
| 2024 | LagCNN: A Fast yet Effective Model for Multivariate Long-term Time Series Forecasting. | Linsen Li, Chunfei Jian, Feng Wan, Dongdong Geng, Ziquan Fang, Lu Chen, Yunjun Gao, Weihao Jiang, Jiang Zhu |
| 2024 | ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation. | Peiyu Li, Xiaobao Huang, Yijun Tian, Nitesh V. Chawla |
| 2024 | Dynamic Neural Control Flow Execution: an Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection. | Li Tao Li, Steven H. H. Ding, Andrew Walenstein, Philippe Charland, Benjamin C. M. Fung |
| 2024 | Design Element Aware Poster Layout Generation. | Yinan Li, Jia Chen, Yin Bai, Jia Cheng, Jun Lei |
| 2024 | ITIU: Intention Understanding via Interactive Table in Large Language Models. | Zenghua Liao, Jinzhi Liao, Xiang Zhao |
| 2024 | EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models. | Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung |
| 2024 | Aligning Large Language Models to a Domain-specific Graph Database for NL2GQL. | Yuanyuan Liang, Keren Tan, Tingyu Xie, Wenbiao Tao, Siyuan Wang, Yunshi Lan, Weining Qian |
| 2024 | Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. | Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner |
| 2024 | RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. | Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenwu Zhu |
| 2024 | LLM-Empowered Few-Shot Node Classification on Incomplete Graphs with Real Node Degrees. | Yun Li, Yi Yang, Jiaqi Zhu, Hui Chen, Hongan Wang |
1,226–1,250 of 10,462← PreviousNext →
Comparable venues
Other A*/A conferences filed under the same field of research.
- A*SIGIRACM International Conference on Research and Development in Information Retrieval
- 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