Conference Information
CIKM 2021: ACM International Conference on Information and Knowledge Management
Submission Date:
2021-05-26 Extended
Notification Date:
Conference Date:
Gold Coast, Australia
CCF: b   CORE: a   QUALIS: a1   Viewed: 116374   Tracked: 392   Attend: 59

Call For Papers
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.

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)
    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 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)
Last updated by Tongya Zheng in 2021-03-22
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