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Proceedings Paper

Personalized summarization using user preference for m-learning
Author(s): Sihyoung Lee; Seungji Yang; Yong Man Ro; Hyoung Joong Kim
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Paper Abstract

As the Internet and multimedia technology is becoming advanced, the number of digital multimedia contents is also becoming abundant in learning area. In order to facilitate the access of digital knowledge and to meet the need of a lifelong learning, e-learning could be the helpful alternative way to the conventional learning paradigms. E-learning is known as a unifying term to express online, web-based and technology-delivered learning. Mobile-learning (m-learning) is defined as e-learning through mobile devices using wireless transmission. In a survey, more than half of the people remarked that the re-consumption was one of the convenient features in e-learning. However, it is not easy to find user's preferred segmentation from a full version of lengthy e-learning content. Especially in m-learning, a content-summarization method is strongly required because mobile devices are limited to low processing power and battery capacity. In this paper, we propose a new user preference model for re-consumption to construct personalized summarization for re-consumption. The user preference for re-consumption is modeled based on user actions with statistical model. Based on the user preference model for re-consumption with personalized user actions, our method discriminates preferred parts over the entire content. Experimental results demonstrated successful personalized summarization.

Paper Details

Date Published: 27 February 2008
PDF: 8 pages
Proc. SPIE 6821, Multimedia on Mobile Devices 2008, 68210P (27 February 2008); doi: 10.1117/12.765972
Show Author Affiliations
Sihyoung Lee, Information and Communications Univ. (South Korea)
Seungji Yang, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)
Hyoung Joong Kim, Korea Univ. (South Korea)

Published in SPIE Proceedings Vol. 6821:
Multimedia on Mobile Devices 2008
Reiner Creutzburg; Jarmo H. Takala, Editor(s)

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