A semantic-driven model for ranking digital learning objects based on diversity in the user comments

Abolkasim, E, Lau, LMS orcid.org/0000-0003-1062-9059 and Dimitrova, V (2016) A semantic-driven model for ranking digital learning objects based on diversity in the user comments. In: Adaptive and Adaptable Learning (Lecture Notes in Computer Science). 11th European Conference on Technology Enhanced Learning, 13-16 Sep 2016, Lyon, France. Springer Verlag , pp. 3-15.

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Copyright, Publisher and Additional Information: © Springer International Publishing Switzerland 2016. This is an author produced version of a proceedings paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-45153-4_1.
Keywords: Diversity model for learning; Semantics; User comments analytics; Video rating
Dates:
  • Published: 7 September 2016
  • Accepted: 23 May 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 07 Jul 2016 11:12
Last Modified: 04 Nov 2016 17:17
Published Version: https://dx.doi.org/10.1007/978-3-319-45153-4_1
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-3-319-45153-4_1

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