Presentation	2017-06-10 Implementation of Recommendation Engine in the Course Introduction Module(e-portfolio) Toshikazu Iitaka,
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Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	The module introduced by this paper is a part of research on a recommendation engine that helps us to create long term learning plan based on big data. Such recommendation engine can reinforce e-portfolio, because users can make long term learning plan effectively. The module could only enable us to check users’ goal and evaluation of courses. However, the module can now create recommend data from such goal data and evaluation data. This paper shows the feature and the use of this module.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	e-portfolio / recommendation-engine / big-data
Paper #	ET2017-13
Date of Issue	2017-06-03 (ET)

Conference Information
Committee	ET
Conference Date	2017/6/10(1days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Shizuoka Univ. (Hamamatsu)
Topics (in Japanese)	(See Japanese page)
Topics (in English)	Advanced Exercise Support, etc.
Chair	Yozo Miyadera(Tokyo Gakugei Univ.)
Vice Chair	Shoichi Nakamura(Fukushima Univ.)
Secretary	Shoichi Nakamura(Tokyo Polytechnic Univ.)
Assistant	Hiroki Nakayama(Waseda Univ.) / Megumi Kurayama(National Inst. of Tech., Hakodate College)

Paper Information
Registration To	Technical Committee on Educational Technology
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Implementation of Recommendation Engine in the Course Introduction Module(e-portfolio)
Sub Title (in English)
Keyword(1)	e-portfolio
Keyword(2)	recommendation-engine
Keyword(3)	big-data
1st Author's Name	Toshikazu Iitaka
1st Author's Affiliation	Kumamoto Gakuen University(Kumamoto Gakuen Univ.)
Date	2017-06-10
Paper #	ET2017-13
Volume (vol)	vol.117
Number (no)	ET-83
Page	pp.pp.7-12(ET),
#Pages	6
Date of Issue	2017-06-03 (ET)