This year, CIKM 2020 will become a fully VIRTUAL CONFERENCE, with reduced fees, no travel involved, and presentations given via pre-recorded videos, followed by synchronized online discussions during the scheduled conference period.

To reflect this change, submission deadlines have been revised (see below).


** CALL FOR FULL AND SHORT RESEARCH PAPERS **

CIKM 2020
Galway, Ireland |Oct. 19th-23rd, 2020

More info at https://cikm2020.org/call-for-papers

**NEW IMPORTANT DATES**

Full and Short Paper Abstract Submission Deadline: May 8, 2020
Full and Short Paper Submission Deadline: May 15, 2020
Full and Short Paper Acceptance Notification: July 17, 2020
Full and Short Research Paper Camera Ready Submission Deadline: August 17, 2020

(Anywhere on Earth time)


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2020 Theme: Data and knowledge for the next generation: sustainability, transparency and fairness
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Strategically positioned at the intersection of research on the management of knowledge, information, and data, CIKM is uniquely situated to highlight technologies and insights that materialize the big data and artificial intelligence vision of the future.

Full and Short Research Papers
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**Topics of Interest**
We encourage submissions of high-quality research papers on all topics in the general areas of 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, data quality, data privacy, data wrangling)

- Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modelling)

- Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customised hardware)

- 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)

- Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)

- Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, graph, multimedia, scientific, and social media data)

- 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, understandability, VR, speech input and output)

- Users and interfaces for information and data systems (e.g., user behaviour analysis, user interface design, personalization, interactive information retrieval, interactive analysis, spoken interfaces)

- Crowdsourcing (e.g. task assignment, worker reliability, optimisation, trustworthiness, best practices)

- Comparative evaluation, performance studies and benchmarks (e.g., online and offline evaluation, best practices)


** Check our sponsorship options for an opportunity to reach out to the experts in the domain! https://cikm2020.org/sponsorship/ **