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	Ensemble Block Co-clustering: A Unified Framework for Text Data.	Sverine Affeldt, Lazhar Labiod, Mohamed Nadif
2020	Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf.	Alikhan Abutalipov, Aigerim Janaliyeva, Medet Mukushev, Antonio Cerone, Anara Sandygulova
2020	Hyper-Substructure Enhanced Link Predictor.	Jian Zhang, Jun Zheng, Jinyin Chen, Qi Xuan
2020	Generating Categories for Sets of Entities.	Shuo Zhang, Krisztian Balog, Jamie Callan
2020	Anomaly Subgraph Detection with Feature Transfer.	Ying Sun, Wenjun Wang, Nannan Wu, Wei Yu, Xue Chen
2020	Efficient Sampling Algorithms for Approximate Temporal Motif Counting.	Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan
2020	Error-Bounded Graph Anomaly Loss for GNNs.	Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang
2020	Modelling User Behavior Dynamics with Embeddings.	Lei Han, Alessandro Checco, Djellel Eddine Difallah, Gianluca Demartini, Shazia Sadiq
2020	Providing Direct Answers in Search Results: A Study of User Behavior.	Zhijing Wu, Mark Sanderson, Berkant Barla Cambazoglu, W. Bruce Croft, Falk Scholer
2020	Learning from Textual Data in Database Systems.	Michael Gnther, Philipp Oehme, Maik Thiele, Wolfgang Lehner
2020	Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network.	Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu
2020	Two-Stage Audience Expansion for Financial Targeting in Marketing.	Zhining Liu, Xiao-Fan Niu, Chenyi Zhuang, Yize Tan, Yixiang Mu, Jinjie Gu, Guannan Zhang
2020	Evaluating Stochastic Rankings with Expected Exposure.	Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette
2020	Fairness in Unsupervised Learning.	Deepak P, Joemon M. Jose, Sanil V
2020	Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions.	Zhuang Liu, Kaiyu Huang, Degen Huang, Zhuang Liu, Jun Zhao
2020	3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020).	Gong Cheng, Kalpa Gunaratna, Jun Wang
2020	Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation.	Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang
2020	A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias.	Michael Frber, Victoria Burkard, Adam Jatowt, Sora Lim
2020	Weaving Text into Tables.	Dhruv Gupta, Klaus Berberich
2020	Minimal Edit-Based Diffs for Large Trees.	Mateusz Pawlik, Nikolaus Augsten
2019	MarlRank: Multi-agent Reinforced Learning to Rank.	Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang
2019	Learning to Ask: Question-based Sequential Bayesian Product Search.	Jie Zou, Evangelos Kanoulas
2019	Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU.	Yu Zhu, Yu Gong, Qingwen Liu, Yingcai Ma, Wenwu Ou, Junxiong Zhu, Beidou Wang, Ziyu Guan, Deng Cai
2019	DTCDR: A Framework for Dual-Target Cross-Domain Recommendation.	Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng
2019	Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.	Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye

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Comparable venues

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