Call for Short Research Papers
CALLS
Call for Short Research Papers
  • Call for Full Research Papers
  • Call for Short Research Papers
  • Call for Applied Research Papers
  • Call for Resource Papers
  • Call for Demo Papers
  • Call for Workshops
  • Call for Tutorials
  • Call for AnalytiCup Competition Proposals
  • Call for PhD Symposium
  • Call for Industry Day Talks
Please check our attendance policy in case of severe travel restrictions
The Conference on Information and Knowledge Management (CIKM) provides a unique venue for industry and academia to present and discuss state-of-the-art research on artificial intelligence, search and discovery, data mining, and database systems, all at a single conference. CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future. CIKM 2025 will take place between Nov 10-14, 2025 in Coex, Seoul, Korea.
Key Dates
All deadlines are at 11:59pm in the Anywhere on Earth (AoE) time zone.
Short paper abstract (required): May 30, 2025
Short paper submission: June 6, 2025
Papers Notifications: August 4, 2025
Camera Ready Deadline: August 27, 2025
Topics of Interest
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, but are not limited to, the following areas:
Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling)
Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility)
Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware)
Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graphs, multimedia, scientific, and social media data)
Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability)
Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)
Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)
Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces)
Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices)
Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices)
Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations)
Data presentation (e.g., visualization, summarization, readability, VR, speech input/output)
Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)
Knowledge graphs support data representation and manipulation
Generation of knowledge graphs using unstructured data
Information retrieval in the era of LLMs
Open-ended QA systems
Fairness, Accountability, Transparency, Ethics, and Explainability in Information and Knowledge Management
Generative AI for Data and Knowledge Management (e.g., GenAI for structured and unstructured data processing, GenAI for data synthesis and simulation, GenAI for information summarization, content creation, and visualization)
Paper Submissions
Authors are invited to submit original short papers that have not been previously published, and are not being considered for publication in any other forum. Short papers should describe ongoing work, recent insights, or summaries of significant research, that address research problems targeting top-tier research venues. Short papers should be particularly well suited to poster presentations. Manuscripts should be submitted to the CIKM 2025 Easychair site in PDF format, using the ACM sigconf template, see https://www.acm.org/publications/proceedings-template. Submissions should be in 2-column sigconf format. Short papers cannot exceed 4 pages plus unlimited references.
Papers should be submitted through the CIKM 2025 online submission system. The review of short papers will be double-blind, and those submissions that have not been properly anonymized will be desk-rejected without review.
Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed.
At least one author of each accepted paper must register to present the work on-site in Seoul, Korea as scheduled in the conference program.
The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.
[ Submission Guidelines ]
Usage of Generative AI
As of 2025, technical papers submitted to CIKM are required to include a “GenAI Usage Disclosure” section at the end of the limited pages of main contents and appendix, right before the references. In this section, authors are required to provide full disclosure of all use of GenAI tools in all stages of the research (including the code and data) and the writing. This section, together with the references, will not be counted toward the page limit. This allows for the disclosure of any use of GenAI as required by the ACM’s Authorship Policy: https://www.acm.org/publications/policies/new-acm-policy-on-authorship

All submissions must comply with the ACM policy on the usage of GenAI:
https://www.acm.org/publications/policies/frequently-asked-questions#h-can-i-use-generative-ai-software-tools-to-prepare-my-manuscript
Dual Submission Policy
Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline. You need to withdraw your submission in case the paper is accepted or still under review by the full paper final deadline.
Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity.
Authorship Policy
Before paper submission, authors are advised to review  ACM’s authorship policy carefully. The full list of author names, including the ordering, must be finalized by paper submission deadline (changes can still be made after the abstract submission deadline). There cannot be any addition, removal, or reordering of authors after the paper submission deadline. Submissions will be checked for potential plagiarism both by plagiarism detection systems and manually– including against concurrent conference submissions (i.e., RecSys, NeurIPS).
ACM Conflict of Interest Policy
All authors must adhere to the ACM Conflict of Interest policy. For full details, please visit this site:
https://www.acm.org/publications/policies/conflict-of-interest
Desk Rejection Policy
Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs.
ACM Policy Against Harassment
All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site:
https://www.acm.org/about-acm/policy-against-harassment
Short Paper Program Chairs Contact Information
For more information, contact the short paper PC chairs:
Short Paper Track Email: cikm2025-short@easychair.org
Kijung Shin, KAIST, South Korea
Bryan Hooi, National University of Singapore, Singapore
Lifang He, Lehigh University, USA