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CIKM 2019 : Conference on Information and Knowledge Management

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Conference Series : Conference on Information and Knowledge Management
 
Link: http://www.cikm2019.net/
 
When Nov 3, 2019 - Nov 7, 2019
Where Beijing, China
Abstract Registration Due May 15, 2019
Submission Deadline May 22, 2019
Notification Due Aug 6, 2019
Final Version Due Aug 27, 2019
 

Call For Papers

Theme: Empowering AI for Future Life
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, data warehousing, privacy and security, modelling)
Infrastructures (e.g., cloud computing, data intensive computing, database systems, indexing and compression, search engine architectures, distributed systems)
Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, graph, multimedia, scientific, and social media data)
Multi-modal data and knowledge processing (e.g., natural language processing, speech recognition, computer vision, knowledge graphs)
Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, event detection and tracking, deep neural networks, deep learning)
Information access and retrieval (e.g., web search, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems)
Data presentation (e.g., visualization, summarization, readability, understandability, VR, speech input and output)
Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, personalization, interactive analysis, spoken interfaces)
Crowd sourcing
Comparative evaluation, performance studies and benchmarks (e.g., online and offline evaluation, study of best practices)
Applications (e.g., digital health, urban systems, biomedical informatics, security, business intelligence, computational social science, data-enabled discovery, social media)

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