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タイトル: MOVING: A User-Centric Platform for Online Literacy Training and Learning
著者: Apaolaza, Aitor
Backes, Tobias
Barthold, Sabine
Bienia, Irina
Blume, Till
Collyda, Chrysa
Fessl, Angela
Gottfried, Sebastian
Grunewald, Paul
Günther, Franziska
Köhler, Thomas
Lorenz, Robert
Heinz, Matthias
Herbst, Sabrina
Mezaris, Vasileios
Nishioka, Chifumi  KAKEN_id
Pournaras, Alexandros
Sabol, Vedran
Saleh, Ahmed
Scherp, Ansgar
Simic, Ilija
Skulimowski, M.J. Andrzej
Vagliano, Iacopo
Vigo, Markel
Wiese, Michael
Draksler, Zdolšek Tanja
著者名の別形: 西岡, 千文
キーワード: MOVING platform
MOVING web application
Recommender system
Adaptive training support
発行日: Mar-2021
出版者: Springer Nature
誌名: e-Science : Open, Social and Virtual Technology for Research Collaboration
開始ページ: 77
終了ページ: 97
抄録: In this paper, we present an overview of the MOVING platform, a user-driven approach that enables young researchers, decision makers, and public administrators to use machine learning and data mining tools to search, organize, and manage large-scale information sources on the web such as scientific publications, videos of research talks, and social media. In order to provide a concise overview of the platform, we focus on its front end, which is the MOVING web application. By presenting the main components of the web application, we illustrate what functionalities and capabilities the platform offer its end-users, rather than delving into the data analysis and machine learning technologies that make these functionalities possible.
記述: Part of the Progress in IS book series (PROIS)
著作権等: © The Author(s) 2021
This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
URI: http://hdl.handle.net/2433/265087
DOI(出版社版): 10.1007/978-3-030-66262-2_6
出現コレクション:学術雑誌掲載論文等

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