Presentation 2019-01-17
A Study on Cache Decision Policy using User Tastes
Tsukasa Kitamura, Noriaki Kamiyama, Miki Yamamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Cache Decision Policy / User Tastes / Machine Learning
Paper # NS2018-180
Date of Issue 2019-01-10 (NS)

Conference Information
Committee NS
Conference Date 2019/1/17(2days)
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.
Chair Yoshikatsu Okazaki(NTT)
Vice Chair Akihiro Nakao(Univ. of Tokyo)
Secretary Akihiro Nakao(NTT)
Assistant Kenichi Kashibuchi(NTT)

Paper Information
Registration To Technical Committee on Network Systems
Language JPN
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.)
Date 2019-01-17
Paper # NS2018-180
Volume (vol) vol.118
Number (no) NS-392
Page pp.pp.13-18(NS),
#Pages 6
Date of Issue 2019-01-10 (NS)