35th ACM International Conference on Information and Knowledge Management (CIKM 2026)

Auditorium Parco della Musica

Nov 7 - 12, 2026

Auditorium Parco della Musica

Rome, Italy

Nov 7 - 12, 2026

Rome, Italy

About the Conference

The 35th ACM International Conference on Information and Knowledge Management (CIKM) continues a distinguished tradition of more than three decades as a premier international forum for the presentation and discussion of research in information retrieval, knowledge management, data mining, and database systems. Since its inception, CIKM has brought together researchers and practitioners from academia and industry to advance the foundations, systems, and applications that enable effective access to information and the management of knowledge at scale.

CIKM’s mission is to identify and address the most challenging problems in the design and development of future information and knowledge systems. The conference fosters high-quality contributions spanning theoretical models, algorithmic advances, system architectures, experimental evaluation, and real-world applications. A hallmark of CIKM is its dynamic Workshops program, which explores emerging topics and timely research challenges, reflecting the evolving landscape of information access and related fields.

Today, the rapid progress of Artificial Intelligence is reshaping the field in profound ways. From large language models and generative AI to responsible, trustworthy and agentic AI, new opportunities and challenges are transforming how we access, organize, interpret, and manage information and knowledge. CIKM 2026 will provide a vibrant platform to discuss the impact of AI on information access, knowledge representation, data integration, personalization, and evaluation, helping to define the next generation of intelligent information access systems.

Subject Areas

Data Acquisition and Processing Data Integration and Aggregation Efficient Data Processing Special Data Processing Analytics and Machine Learning Foundation Models and Neural Information Processing Agentic AI for Information and Knowledge Tasks Information Access and Retrieval Trustworthy and Responsible AI Users and Interfaces for Information Systems Evaluation Crowdsourcing Mining Multi-Modal Content Data Presentation Generative AI for Data and Knowledge Management Resource-Efficient AI Applications

Important Dates

2026-05-16 Full Research Papers Abstract Deadline / Applied Research Papers Abstract Deadline CLOSED

2026-05-23 Full Research Papers Submission Deadline / Applied Research Papers Submission Deadline CLOSED

2026-05-30 Short Research Papers Abstract Deadline / Resource Papers Abstract Deadline / Demo Papers Abstract Deadline CLOSED

2026-06-01 AnalytiCup Competition Proposals Submission Due CLOSED

2026-06-06 Short Research Papers Submission Deadline / Resource Papers Submission Deadline / Demo Papers Submission Deadline CLOSED

2026-06-08 AnalytiCup Competition Proposals Notification CLOSED

2026-06-29 PhD Symposium Submission Deadline / Industry Day Submission Deadline · postponed to June 29, 2026 CLOSED

2026-08-07 Notification (for Full, Short, Industry Day, Applied Research, Resource, Demo, Short, PhD Symposium) CLOSED

2026-08-23 Camera-ready (for Full, Short, Industry Day, Applied Research, Resource, Demo, Short, PhD Symposium) CLOSED

2026-06-29 Tutorial Proposal Submission / Workshops Proposal Submission · postponed to June 29, 2026 CLOSED

2026-07-08 Tutorial Proposal Notification / Workshops Proposal Notification CLOSED

2026-08-23 Tutorial camera-ready / Workshop Summary Camera-ready Submission CLOSED

2026-08-24 Recommended Date for Paper Submissions to the Workshops CLOSED

2026-09-23 Recommended Date for Workshops Paper acceptance notification NEXT

2026-10-09 Tutorial website

2026-11-07 Tutorial date

2026-11-08 Workshop date

TBD Early bird registration opening · August 2026

2026-08-23 Authors’ registration deadline CLOSED

2026-09-18 Early bird registration deadline

2026-09-19 Regular registration opening

2026-10-23 Regular registration deadline

2026-11-09 Onsite registration · November 9th-11th, 2026

Call For Papers

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

Conference Organization

Organized by

ACM

In cooperation with

Sapienza University of Rome Symposia Srl

Committee

Program Committee Co-Chairs

Ioana Manolescu

Inria and Institut Polytechnique de Paris, France

Jiaxin Mao

Renmin University of China, China

Vanessa Murdock

Amazon Research, USA

Fabrizio Silvestri

University of Rome “La Sapienza”, Italy

Short Paper Program Co-Chairs

Marco Console

Sapienza University of Rome, Italy

Makoto P. Kato

University of Tsukuba / National Institute of Informatics, Japan

Josiane Mothe

Univ. Toulouse, France

Andrew Yates

Johns Hopkins University, USA

Applied Research Track Co-Chairs

Aris Anagnostopoulos

Sapienza University of Rome, Italy

Laure Berti-Equille

Institut de recherche pour le développement (IRD), France

Florina Piroi

Technische Universität Wien, Austria

Resource Track Co-Chairs

Guglielmo Faggioli

University of Padua, Italy

Lida Rashidi

RMIT University, Australia

Demo Track Co-Chairs

Stefano Marchesin

University of Padua, Italy

Anastasia Giachanou

Utrecht University, The Netherlands