Recommendation service for big data applications in smart cities

被引：2
|
作者：
Palaiokrassas, Georgios [1 ]
Charlaftis, Vassilios [1 ]
Litke, Antonios [1 ]
Varvarigou, Theodora [1 ]
机构：
[1] Natl Tech Univ Athens, Elect & Comp Engn Dept, Athens, Greece
来源：
2017 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS) | 2017年
基金：
欧盟地平线“2020”;
关键词：
Smart cities; Internet of Things; Big Data; Graph data bases; Neo4j; recommendation systems; SYSTEMS;
D O I：
10.1109/HPCS.2017.41
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present a recommendation service based on Neo4j graph data base which is applied in the context of smart cities application and leverages the potential of big data. The current work studies a modelling approach for user generated data combined with open big data and proceeds with the appropriate reference implementation and experimentation to validate recommendation services for innovative citizen-centric applications. Moreover, we study and validate performance issues of this Neo4j based recommendation service and evaluate it as a useful appliance for real-time big data application.
引用
收藏
页码：217 / 223
页数：7
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