Conference Information

CIKM 2026: ACM International Conference on Information and Knowledge Management

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Submission Date:
2026-05-16
Notification Date:
2026-08-07
Conference Date:
2026-11-07
Location:
Rome, Italy
Years:
35
CCF: B   ICORE: A   QUALIS: A1   Viewed: 729578   Tracked: 489   Attend: 92

Conference Partner Index (CP-I)

93.5 / 100
Ranked #21 of 5,682 conferences · Top 1%

#2 of 253 in Information Systems & Web

Academic recognition (35%)
100
Submission selectivity (20%)
91
Editions held (20%)
96
Community attention (10%)
91
Public record completeness (15%)
80

Inputs used: Listed as CCF B, ICORE A, QUALIS A1 · Acceptance rate: 19.8% (mean of 5 editions on file) · Editions on record: 35 · Researchers following it here: 489 · Researchers who opened this page in the past 24 months: 113

Missing from the public record: Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-19

Call For Papers

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
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 21% over 8 years (2014–2021).

YearSubmittedAcceptedAccepted(%)
2021125127121.7%
202092019321%
2019103020019.4%
201886214717.1%
201785517120%
201670116022.8%
201564616525.5%
201483817520.9%

Best Papers

YearBest Papers
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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