Recommendation Service for Big Data Applications in Smart Cities
Georgios Palaiokrassas, Vassilios Charlaftis, Αντώνιος Λίτκε, Theodora A. Varvarigou · 2017
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.