Mobile recommender system based on smart city graph

Mobile recommender systems have changed the way people find items, purposes of intrigue, administrations, or even new companions. The innovation behind mobile recommender systems has developed to give client inclinations and social impacts. This paper introduces a first way to build a mobile recomme...

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Main Authors: Khalid Khoshnaw, Karwan Hoshyar (Author), Abdulkarim Shwany, Zardasht Abdulaziz (Author), Mustafa, Twana (Author), Ismail, Shayda Khudhur (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2022-03-01.
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001 ijeecs27238_16143
042 |a dc 
100 1 0 |a Khalid Khoshnaw, Karwan Hoshyar  |e author 
100 1 0 |e contributor 
700 1 0 |a Abdulkarim Shwany, Zardasht Abdulaziz  |e author 
700 1 0 |a Mustafa, Twana  |e author 
700 1 0 |a Ismail, Shayda Khudhur  |e author 
245 0 0 |a Mobile recommender system based on smart city graph 
260 |b Institute of Advanced Engineering and Science,   |c 2022-03-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27238 
520 |a Mobile recommender systems have changed the way people find items, purposes of intrigue, administrations, or even new companions. The innovation behind mobile recommender systems has developed to give client inclinations and social impacts. This paper introduces a first way to build a mobile recommendation system based on smart city graphs that appear topic features, user profiles, and impacts acquired from social connections. It exploits graph centrality measures to expand customized recommendations from the semantic information represented in the graph. The graph shows and chooses graph algorithms for computing chart centrality that is the center of the mobile recommender system are exhibited. Semantic ideas, for example, semantic transcendence and likeness measures, are adjusted to the graph model. Usage challenges confronted to settle execution issues are additionally examined. 
540 |a Copyright (c) 2022 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Graph models; Intelligent transportation systems; Internet of things; Mobile recommender systems; Smart city 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 25, No 3: March 2022; 1771-1776 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v25.i3 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27238/16143 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/27238/16143  |z Get fulltext