[CIKM 2025] - Call for Short Research Papers
Jeongwhan Choi
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://cikm2025.org/calls/short-research-papers
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CIKM 2025: 34th ACM International Conference on Information and Knowledge Management
COEX, Seoul, Republic of Korea
November 10–14, 2025
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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.
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Key Dates
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All deadlines are at 11:59pm in the Anywhere on Earth timezone.
Short paper abstract (required): May 30, 2025
Short paper submission: June 6, 2025
Papers Notifications: August 4, 2025
Camera Ready Deadline: August 27, 2025
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Topics of Interest
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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)
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)
Resource Efficient Generative AI models for knowledge management (e.g., model compression, distributed learning, and leveraging edge computing to reduce computational overhead)
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Paper Submissions
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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.
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Dual Submission Policy
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It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published, or accepted for publication, or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. There are several exceptions to this rule:
For a paper that is still under review, it is allowed to make an abstract submission by May 23, 2025 (without uploading the paper PDF) as long as the ongoing review process ends by the full paper final deadline of May 30, 2025. You need to withdraw your submission in case the paper is accepted or still under review by May 30, 2025.
Submission is permitted for papers presented or to be presented at conferences or workshops without proceedings, or with only abstracts published.
Submission is permitted for papers that have previously been made available as a technical report or similar, e.g., in arXiv. In this case, the authors should not cite the report, so as to preserve anonymity.
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Authorship Policy
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Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions.
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ACM Conflict of Interest Policy
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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
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Desk Rejection Policy
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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.
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ACM Policy Against Harassment
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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
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PC Chairs Contact Information
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For more information, contact the short paper PC chairs:
Short Paper Track Email: cikm2025-short [at] easychair [dot] org
Kijung Shin, KAIST, South Korea
Bryan Hooi, National University of Singapore, Singapore
Lifang He, Lehigh University, USA