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

===============

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

October 21–25, 2024

===============

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 2024 will take place between 
October 21-25, 2024 in Boise, Idaho, USA. 

--------------------------
Key Dates
--------------------------

* Full Papers abstract: 13 May 2024
* Full Papers: 20 May  2024
* Papers notifications: 16 July 2024
* Camera ready: 8 August 2024

(All deadlines are at 11:59 pm AOE)
 
--------------------------
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, data lake, 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, time 
series, 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, and 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 preparation, Valuation, and Trading
* Information access and retrieval (e.g., web search, question answering and 
dialogue systems, retrieval models, query processing, personalization, 
recommender, and filtering systems)
* Users and interfaces for information 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)
* Mining 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
 
--------------------------
Paper Submissions
--------------------------
Authors are invited to submit original, full-length research papers 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.

Manuscripts should be submitted to CIKM 2024 Easychair site in PDF format, 
using the 2-column ACM sigconf template, see 
https://www.acm.org/publications/proceedings-template . Full papers cannot 
exceed 9 pages, including an appendix, plus unlimited references. Rejected full 
papers will not be considered for publication as short papers. The review of 
manuscripts will be double-blind, and submissions not 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 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.

--------------------------
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 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.

--------------------------
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. 

--------------------------
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 

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

Carlotta Domeniconi, George Mason University, USA
Zhifeng Bao, RMIT University, Australia
Sole Pera, TU Delft, Netherlands
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