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CIKM 2026: ACM International Conference on Information and Knowledge Management

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CIKM
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截稿日期:
2026-05-16
通知日期:
2026-08-07
会议日期:
2026-11-07
会议地点:
Rome, Italy
届数:
35
CCF: B   ICORE: A   QUALIS: A1   浏览: 729580   关注: 489   参加: 92

会伴指数 (CP-I)

93.5 / 100
全站第 21 名 / 共 5,682 个会议 · 前 1%

信息系统与 Web 第 2 / 253

学术认可 (35%)
100
投稿选择性 (20%)
91
会议传承 (20%)
96
社区关注 (10%)
91
资料公开度 (15%)
80

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A1 · 录用率：19.8%（有记录的 5 届的均值） · 有据可查的届次：35 · 在会伴关注它的研究者：489 人 · 过去 24 个月打开过本页的研究者：113 人

公开资料里还缺: 历届信息 (+3.0)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-19

征稿

CIKM 2026 (ACM International Conference on Information and Knowledge Management) is a CCF B / ICORE A / QUALIS A1 conference held in Rome, Italy on 2026-11-07. The paper submission deadline is 2026-05-16. Acceptance notifications are sent on 2026-08-07.

We encourage submissions of high-quality research papers on the general areas of artificial intelligence, data science, databases, information retrieval, and knowledge management. Topics of interest include: Data Acquisition and Processing: IoT data, data quality, data privacy, mitigating biases, data wrangling, data exploration, data preparation, valuation, and tradin Data Integration and Aggregation: semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, data lakes, privacy and security, modeling, information credibility, AI-generated content detection and provenance) Efficient Data Processing: serverless computing, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware Special Data Processing: multilingual text, sequential, stream, time series, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data Analytics and Machine Learning: OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, interpretability and explainability Foundation Models and Neural Information Processing: large language models, graph neural networks, domain adaptation, transfer learning, in-context learning, fine-tuning and alignment, network architectures, neural ranking, neural recommendation, and neural prediction Agentic AI for Information and Knowledge Tasks: tool use, planning, multi-agent systems, autonomous retrieval and decision-making, agentic workflows, orchestration of knowledge-intensive processes Information Access and Retrieval: retrieval-augmented generation (RAG), retrieval models, query processing, question answering and dialogue systems, open-ended question answering, conversational information seeking, generation of knowledge graphs from unstructured data, personalization, recommender systems, filtering systems Trustworthy and Responsible AI: fairness, accountability, ethics, explainability, safety, alignment, robustness, hallucination detection and mitigation, factuality and grounding, attribution, responsible deployment Users and Interfaces for Information Systems: user behavior analysis, user interface design, perception of biases, interactive information retrieval, interactive analysis, spoken interfaces, human-AI collaboration, co-pilot paradigms, human-in-the-loop systems Evaluation: performance studies, benchmarks, online and offline evaluation, best practices, evaluation of generative and LLM-based systems, human evaluation protocols, LLM-as-judge, reproducibility Crowdsourcing: task assignment, worker reliability, optimization, trustworthiness, transparency, crowdsourcing in the era of large language models Mining Multi-Modal Content: natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge representations, multi-modal foundation models Data Presentation: visualization, summarization, readability, VR/AR, speech input/output Generative AI for Data and Knowledge Management: GenAI for structured and unstructured data processing, GenAI for data synthesis and simulation, GenAI for information summarization, content creation, and visualization, synthetic data generation, and quality Resource-Efficient AI: model compression, quantization, distillation, distributed learning, inference optimization, on-device models, leveraging edge computing to reduce computational overhead Applications: urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social networks, education, business
由 Dou Sun 最后更新于

录用率

平均录用率: 21% 8 年间 (2014–2021).

年份提交数录用数录用率(%)
2021125127121.7%
202092019321%
2019103020019.4%
201886214717.1%
201785517120%
201670116022.8%
201564616525.5%
201483817520.9%

最佳论文

年份最佳论文
2025Reconsidering the Performance of GAE in Link Prediction
2024Data Void Exploits: Tracking & Mitigation Strategies
2024Physics-guided Active Sample Reweighting for Urban Flow Prediction
2024Revisiting Optimal Window Aggregation in Data Streams: The Prefix-Sum Approach
2023Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand
2022Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning
2021RxNet: Rx-refill Graph Neural Network for Overprescribing Detection
2020FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
2020Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid Evaluation
2019AutoGRD: Model Recommendation Through Graphical Dataset Representation
2019Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach
2019Spam Review Detection with Graph Convolutional Networks
2019Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment
2018Relevance estimation with multiple information sources on search engine result pages
2017Hike: A Hybrid Human-Machine Method for Entity Alignment in Large-Scale Knowledge Bases
2016Vandalism Detection in Wikidata
2015Assessing the Impact of Syntactic and Semantic Structures for Answer Passages Reranking
2014Cross-Device Search
2013Penguins in Sweaters, or Serendipitous Entity Search on User-generated Content
2012Gelling, and Melting, Large Graphs by Edge Manipulation
2011Intent-aware query similarity
2010MENTA: inducing multilingual taxonomies from wikipedia
2010FACeTOR: cost-driven exploration of faceted query results
2009On the feasibility of multi-site web search engines
2008Learning to link with wikipedia
2007Autonomously semantifying wikipedia
2006Discovering and exploiting keyword and attribute-value co-occurrences to improve P2P routing indices
2005Towards automatic association of relevant unstructured content with structured query results
2004Discovering frequently changing structures from historical structural deltas of unordered XML

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相关期刊

CCF全称影响因子出版商ISSN
CInformation & Management8.2Elsevier0378-7206
Information Technology and Management2.9Springer1385-951X
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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