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Paper Abstract and Keywords
Presentation 2019-01-17 14:50
A Study on Cache Decision Policy using User Tastes
Tsukasa Kitamura (Kansai Univ.), Noriaki Kamiyama (Fukuoka Univ.), Miki Yamamoto (Kansai Univ.) NS2018-180
Abstract (in Japanese) (See Japanese page) 
(in English) Today, the majority of internet traffic is video traffic such as YouTube and NetFlix. Placing copy of original video contents to replication servers nearby users is a general solution to reduce traffic load in networks. In existing research, they focus on the spatial locality and the transition of video contents. In this paper, we focus on user tastes for video contents and propose a new cache decision policy based on measured user tastes. Users which have similar tastes tend to require similar video contents, thus we utilize the measured relation among users’ requests to predict near future video content requests. Our evaluation results using MovieLens dataset show that our proposal can make clusters of users who have similar tastes and improve cache hit ratio in comparison to LRU.
Keyword (in Japanese) (See Japanese page) 
(in English) Cache Decision Policy / User Tastes / Machine Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 392, NS2018-180, pp. 13-18, Jan. 2019.
Paper # NS2018-180 
Date of Issue 2019-01-10 (NS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NS2018-180

Conference Information
Committee NS  
Conference Date 2019-01-17 - 2019-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Prefectural Art Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network software (Software Architecture, Middleware), Network Application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, Network/System reliability, Network/System evaluation, etc. 
Paper Information
Registration To NS 
Conference Code 2019-01-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Cache Decision Policy using User Tastes 
Sub Title (in English)  
Keyword(1) Cache Decision Policy  
Keyword(2) User Tastes  
Keyword(3) Machine Learning  
1st Author's Name Tsukasa Kitamura  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Noriaki Kamiyama  
2nd Author's Affiliation Fukuoka University (Fukuoka Univ.)
3rd Author's Name Miki Yamamoto  
3rd Author's Affiliation Kansai University (Kansai Univ.)
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Date Time 2019-01-17 14:50:00 
Presentation Time 25 
Registration for NS 
Paper # IEICE-NS2018-180 
Volume (vol) IEICE-118 
Number (no) no.392 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-NS-2019-01-10 

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