ACM International Conference on Information and Knowledge Management

CIKM

CORE rank

CORE rank (raw)

Acceptance rate

22.7% (2024 full papers)

Fields of research

Data Management and Data Science · Artificial Intelligence

Papers indexed

10,462

1992–2025

Best Artificial Intelligence conferences Best Databases and Data Management conferences Best Data Science and Information Retrieval conferences

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
2020	Deep Multi-Interest Network for Click-through Rate Prediction.	Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang
2020	Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach.	Nan Xiao, Nan Hu, Liang Yu, Cheng Long
2020	OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection.	Haolong Xiang, Zoran Salcic, Wanchun Dou, Xiaolong Xu, Lianyong Qi, Xuyun Zhang
2020	CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.	Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
2020	Maximum Signed (k, r)-Truss Identification in Signed Networks.	Yanping Wu, Renjie Sun, Chen Chen, Xiaoyang Wang, Qiuyu Zhu
2020	Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer.	Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla
2020	A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.	Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
2020	Tolerant Markov Boundary Discovery for Feature Selection.	Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
2020	Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.	Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen
2020	UI-FAME: A High-Performance Forgetting System for Creating Views of Ontologies.	Xuan Wu, Wenxing Deng, Chang Lu, Hao Feng, Yizheng Zhao
2020	Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval.	Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
2020	Calibration of Google Trends Time Series.	Robert West
2020	Active Hazard Observation via Human in the Loop Social Media Analytics System.	Zhenyu Wen, Jedsada Phengsuwan, Nipun Balan Thekkummal, Rui Sun, Pooja jamathi-Chidananda, Tejal Shah, Philip James, Rajiv Ranjan
2020	Succinct Adaptive Manifold Transfer.	Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong
2020	Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation.	Bei Wang, Chenrui Zhang, Hao Zhang, Xiaoqing Lyu, Zhi Tang
2020	Mining Infrequent High-Quality Phrases from Domain-Specific Corpora.	Li Wang, Wei Zhu, Sihang Jiang, Sheng Zhang, Keqiang Wang, Yuan Ni, Guotong Xie, Yanghua Xiao
2020	Masked-field Pre-training for User Intent Prediction.	Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li, Jieping Ye
2020	Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion.	Yangtao Wang, Yanzhao Xie, Yu Liu, Ke Zhou, Xiaocui Li
2020	DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation.	Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, Ming Zhang
2020	Streaming Graph Neural Networks via Continual Learning.	Junshan Wang, Guojie Song, Yi Wu, Liang Wang
2020	April: An Automatic Graph Data Management System Based on Reinforcement Learning.	Hongzhi Wang, Zhixin Qi, Lei Zheng, Yun Feng, Junfei Ouyang, Haoqi Zhang, Xiangxi Zhang, Ziming Shen, Shirong Liu
2020	Bringing Order to Network Embedding: A Relative Ranking based Approach.	Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu
2020	Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification.	Xi Wang, Iadh Ounis, Craig MacDonald
2020	Efficient Knowledge Graph Validation via Cross-Graph Representation Learning.	Yaqing Wang, Fenglong Ma, Jing Gao
2020	Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.	Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang

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