Call for Applied Research Papers
CALLS
Call for Applied Research Papers
The 34th ACM International Conference on Information and Knowledge Management (CIKM) offers a forum for academia and industry to present cutting-edge research on artificial intelligence, foundation models, search and discovery, text and data mining, and database systems.
The Applied Research Track invites submissions from both academia and industry that focus on advancing the understanding of issues related to deploying foundation models, IR, NLP and AI at scale. Unlike the Research Track, the Applied Research Track concentrates on applied work, such as describing the implementation of a system, data acquisition, or application of a methodology that addresses a significant real-world problem and demonstrates measurable benefits and impact. We invite authors to submit papers that showcase their research work’s real-world impact and demonstrate practicality and scalability.
Submissions should clearly outline how the work has been deployed or released and for how long, or how the work is planned to be deployed or released and what is its potential impact in the real world
Key Dates
All deadlines are at 11:59pm in the Anywhere on Earth (AoE) time zone.
Applied Research Papers abstract deadline: May 16, 2025
Applied Research Papers submission deadline: May 23, 2025
Applied Research Papers notifications: August 4, 2025
Camera-ready deadline: August 27, 2025
Topics of Interest
We invite submissions along the same topics of interest lines as the CIKM 2025 Research Track, but with a focus on applied and deployed work, substantiated by a system launch, data release, or other practical application evidence.
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) graph, 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., foundation models, graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction)
Data processing enabled by large language models and other foundation models (e.g. information retrieval or data management facilitated by the use of LLMs)
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)
Network and graph mining (e.g., social network analysis, mining important nodes in networks, subgraphs and graph motifs mining, community detection)
Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media)
Paper Submissions
We welcome original applied research submissions that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences.
Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind).
Submissions are limited to 7 pages plus unlimited references (note that additional appendices are not allowed) and must be formatted using ACM’s 2-column template “sig-conf”, see https://www.acm.org/publications/proceedings-template.
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.
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 by May 16, 2025 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 23, 2025. You need to withdraw your submission in case the paper is accepted or still under review by May 23, 2025.
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.
Authorship Policy
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.
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
https://www.acm.org/publications/policies/conflict-of-interest
Use of AI
All submissions must strictly adhere to the ACM policy on the use of Artificial Intelligence.
Desk Rejection Policy
Submissions that fail to adhere to the 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
https://www.acm.org/about-acm/policy-against-harassment
Applied Research Track PC Chairs Contact Information
For more information, contact the Applied Research Track PC chairs at cikm2025-applied@easychair.org
Yong Li (Tsinghua University)
Julian McAuley (UCSD)
Yang Song (Kuaishou Technology)
Sungchul Kim (Adobe)
