The 32nd ACM International Conference on Information and Knowledge Management (CIKM) offers a forum for academia and industry to present cutting-edge research on artificial intelligence, 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 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.
- Applied Research Papers abstract deadline: May 26, 2023.
- Applied Research Papers submission deadline: June 2, 2023.
- Applied Research Papers notifications: August 4, 2023.
- Conference: October 23-25, 2023.
We invite submissions along the same topics of interest lines as the CIKM 2023 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., 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)
We welcome applied research submissions that have not been published, accepted for publication, or are currently under submission at another venue. There are two exceptions to this rule: (1) submissions are permitted for papers presented at venues without proceedings, or with only abstracts published; (2) submissions are permitted for papers that have been made available as technical reports only e.g. on arXiv.
Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind).
Submissions are limited to 6 pages plus unlimited references (note that additional appendices are not allowed) and must be formatted using ACM's double-column template "sig-conf".
AI Generated Content: 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 own text (e.g., automate grammar checks, word autocorrect, and other editing work), but text “produced entirely” by AI is not allowed.
Attendance and Presentations: At least one author of each accepted paper must register to present the work on-site in Birmingham as scheduled in the conference program, which may include both oral presentation and poster sessions. In case of traveling restrictions (COVID related or otherwise), an exception may be made to allow registered authors to present the work remotely.
All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site:
This year’s Applied Research track chairs are Nikos Aletras (University of Sheffield & Amazon) and Claudia Hauff (Spotify).
They can be reached via cikm2023-applied@easychair.org.