The role of an IoT platform in the design of real-time recommender systems
Sangwhan Cha, Marta Padilla Ruiz, Mónica Wachowicz, Loc Tran, Hung Cao, Iyke Maduako · 2016
The growth of Internet of Things (IoT) brings the promise of a wide range of new recommender systems due to the expected 57 billion smart connected devices by 2025. In this paper, we propose a new IoT platform for supporting a real-time recommender system. To illustrate the effectiveness of our proposed IoT platform, we present a prototype implementation and a tourism application to demonstrate the entire process from user event data collection to notification/recommendations provision. We conducted several experiments including notification and system performance tests to illustrate the use and performance of our real-time recommender system.