Towards building and evaluating a personalized location-based recommender system
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سال
: 2014شناسه الکترونیک: 10.1109/ICC.2014.6883437
کلیدواژه(گان): Internet of Things,n game theory,n medical computing,n security of data,n Internet of Things,n IoT,n adaptive security strategies,n convergent networks,n distributed application deployment,n ehealth,n energy-efficiency,n game-based adaptive security,n heterogeneous structure,n performance assessment,n security challenges,n security-effectiveness,n ubiquitous computing,n Adaptation models,n Batteries,n Computational modeling,n Context
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Towards building and evaluating a personalized location-based recommender system
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contributor author | Duan, Rubing | |
contributor author | Goh, Rick Siow Mong | |
contributor author | Yang, Feng | |
contributor author | Tan, Yong Kiam | |
contributor author | Valenzuela, Jesus F.B. | |
date accessioned | 2020-03-12T22:20:56Z | |
date available | 2020-03-12T22:20:56Z | |
date issued | 2014 | |
identifier other | 7004211.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1079906 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Towards building and evaluating a personalized location-based recommender system | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8216274 | |
subject keywords | Internet of Things | |
subject keywords | n game theory | |
subject keywords | n medical computing | |
subject keywords | n security of data | |
subject keywords | n Internet of Things | |
subject keywords | n IoT | |
subject keywords | n adaptive security strategies | |
subject keywords | n convergent networks | |
subject keywords | n distributed application deployment | |
subject keywords | n ehealth | |
subject keywords | n energy-efficiency | |
subject keywords | n game-based adaptive security | |
subject keywords | n heterogeneous structure | |
subject keywords | n performance assessment | |
subject keywords | n security challenges | |
subject keywords | n security-effectiveness | |
subject keywords | n ubiquitous computing | |
subject keywords | n Adaptation models | |
subject keywords | n Batteries | |
subject keywords | n Computational modeling | |
subject keywords | n Context | |
identifier doi | 10.1109/ICC.2014.6883437 | |
journal title | ig Data (Big Data), 2014 IEEE International Conference on | |
filesize | 1598209 | |
citations | 0 |