* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://cikm2024.org/call-for-applied-research-papers

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CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
 
Boise, Idaho, USA

October 21–25, 2024

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The 33rd 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, or how the work is planned to be deployed or released and what is its potential impact in the real world

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Key Dates
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* Applied Research Papers abstract: 13 May 2024
* Applied Research Papers: 20 May 2024
* Applied Research Papers notifications: 16 July 2024
* Camera ready: 8 August 2024
 
(All deadlines are at 11:59 pm AOE)
 
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Topics of Interest
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We invite submissions along the same topics of interest lines as the CIKM 2024 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)
* 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)
 
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Paper Submissions
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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 Boise, Idaho, USA,  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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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 13, 2024 (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 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024.

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.

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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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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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Chairs Contact Information
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For more information, contact the Applied Research Track PC chairs at: CIKM2024-applied [at] easychair [dot] org

Wei Chen (Microsoft Research Asia) 
Yinglong Xia (Meta)

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