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Towards building and evaluating a personalized location-based recommender system

contributor authorDuan, Rubing
contributor authorGoh, Rick Siow Mong
contributor authorYang, Feng
contributor authorTan, Yong Kiam
contributor authorValenzuela, Jesus F.B.
date accessioned2020-03-12T22:20:56Z
date available2020-03-12T22:20:56Z
date issued2014
identifier other7004211.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1079906?show=full
formatgeneral
languageEnglish
publisherIEEE
titleTowards building and evaluating a personalized location-based recommender system
typeConference Paper
contenttypeMetadata Only
identifier padid8216274
subject keywordsInternet of Things
subject keywordsn game theory
subject keywordsn medical computing
subject keywordsn security of data
subject keywordsn Internet of Things
subject keywordsn IoT
subject keywordsn adaptive security strategies
subject keywordsn convergent networks
subject keywordsn distributed application deployment
subject keywordsn ehealth
subject keywordsn energy-efficiency
subject keywordsn game-based adaptive security
subject keywordsn heterogeneous structure
subject keywordsn performance assessment
subject keywordsn security challenges
subject keywordsn security-effectiveness
subject keywordsn ubiquitous computing
subject keywordsn Adaptation models
subject keywordsn Batteries
subject keywordsn Computational modeling
subject keywordsn Context
identifier doi10.1109/ICC.2014.6883437
journal titleig Data (Big Data), 2014 IEEE International Conference on
filesize1598209
citations0


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