Semantic Learning Service Personalized

DOI

10.1080/18756891.2012.670528How to use a DOI?

Keywords

personalized learning service, semantic information search, ontology, collaboration filtering

Abstract

To provide users with more suitable and personalized service, personalization is widely used in various fields. Current e-Learning systems search for learning resources using information search technology, based on the keywords that selected or inputted by the user. Due to lack of semantic analysis for keywords and exploring the user contexts, the system cannot provide a good learning experiment. In this paper, we defined the concept and characteristic of the personalized learning service, and proposed a semantic learning service personalized framework. Moreover, we made full use of semantic technology, using ontologies to represent the learning contents and user profile, mining and utilizing the friendship and membership of the social relationship to construct the user social relationship profile, and improved the collaboration filtering algorithm to recommend personalized learning resources for users. The results of the empirical evaluation show that the approach is effectiveness in augmenting recommendation.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Yibo Chen
AU  - Chanle Wu
AU  - Xiaojun Guo
AU  - Jiyan Wu
PY  - 2012
DA  - 2012/02/01
TI  - Semantic Learning Service Personalized
JO  - International Journal of Computational Intelligence Systems
SP  - 163
EP  - 172
VL  - 5
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.670528
DO  - 10.1080/18756891.2012.670528
ID  - Chen2012
ER  -