Presentation	2015-01-26 An Application Recommendation System Considering Device Condition Daichi Hasumi, Eiji Kamioka,
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Abstract(in English)	We have proposed an application recommendation system, which predicts an application function that a user wants to use complying with the user's device status, using Application log on the device, Application ontology and Artificial Neural Network. In this paper, the effectiveness of the proposed system will be discussed through some evaluation experiments with actual application logs. The evaluation results indicate that the proposed system works well to the users who use the computer frequently and use the applications that have strong correlations with the launched time.
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Keyword(in English)	Recommender System / Machine Learning / Application Log / Artificial Neural Network
Paper #	MoNA2014-65
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Committee	MoNA
Conference Date	2015/1/19(1days)
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Paper Information
Registration To	Mobile Network and Applications(MoNA)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	An Application Recommendation System Considering Device Condition
Sub Title (in English)
Keyword(1)	Recommender System
Keyword(2)	Machine Learning
Keyword(3)	Application Log
Keyword(4)	Artificial Neural Network
1st Author's Name	Daichi Hasumi
1st Author's Affiliation	Graduate School of Engineering and Science, Shibaura Institute of Technology()
2nd Author's Name	Eiji Kamioka
2nd Author's Affiliation	Graduate School of Engineering and Science, Shibaura Institute of Technology
Date	2015-01-26
Paper #	MoNA2014-65
Volume (vol)	vol.114
Number (no)	417
Page	pp.pp.-
#Pages	6
Date of Issue