2016 IEEE 3rd World Forum on Internet of Things (WF-IoT) 2016
DOI: 10.1109/wf-iot.2016.7845469
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The role of an IoT platform in the design of real-time recommender systems

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Cited by 33 publications
(21 citation statements)
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“…AR use cases are also providential in improving challenges associated with accommodation, transportation, and catering solutions. A recommender system was proposed in [ 283 ] to aid tourists’ decision-making, and the authors identified a need for high bandwidth wireless network infrastructure for the system to work optimally. Smart tourism also presents innovative solutions such as self-guided tours, tourist traffic control, remote monitoring, resource management [ 284 ].…”
Section: 6g Use Cases In Industriesmentioning
confidence: 99%
“…AR use cases are also providential in improving challenges associated with accommodation, transportation, and catering solutions. A recommender system was proposed in [ 283 ] to aid tourists’ decision-making, and the authors identified a need for high bandwidth wireless network infrastructure for the system to work optimally. Smart tourism also presents innovative solutions such as self-guided tours, tourist traffic control, remote monitoring, resource management [ 284 ].…”
Section: 6g Use Cases In Industriesmentioning
confidence: 99%
“…While WLAN/WPAN provide a short range connectivity (about 1-100 metres) to support device-to-device (D2D) communication with a high data rate, LPWAN does not require much power, nor bandwidth to operate and provides long range connectivity (up to 50 kilometres) [35]. Some typical communication technologies of WLAN/WPAN including Radio-frequency Identification (RFID) [36], Bluetooth Low Energy 4.0 [37], Zigbee [38], and Wi-Fi (IEEE 802.11) are applied in different IoT applications such as Smart Tourism [39], Smart Home [40], Connected Health [41]. LPWAN technologies including unlicensed (e.g.…”
Section: ) Communication Technologiesmentioning
confidence: 99%
“…The authors of Cha et al (2016), Martino and Rossi (2016), and Yavari et al (2016) show how basic Artificial Intelligence (AI) approaches such as planning and clustering can be exploited for offering public services in a personalized fashion. They do not include basic recommendation approaches but, for example, scheduling and clustering that empower functionalities such as route planning and recommending points of interest.…”
Section: Related Workmentioning
confidence: 99%