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Recommendation Service for Big Data Applications in Smart Cities

, , , and . 2017 International Conference on High Performance Computing Simulation (HPCS), page 217-223. (July 2017)
DOI: 10.1109/HPCS.2017.41

Abstract

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.

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