Recommendation Technologies for IoT Edge Devices

Alexander Felfernig; Seda Polat Erdeniz; Michael Jeran; Arda Akcay

Recommendation Technologies for IoT Edge Devices

Alexander Felfernig, Seda Polat Erdeniz, Michael Jeran, Arda Akcay

Institute of Software Technology (7160)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

The AGILE project (agile-iot.eu) aims to create Internet of Things (IoT) gateway technologies that support many devices, protocols, and corresponding management and development activities. In the context of this project there are scenarios that require the support of recommendation technologies. The major goal of this paper is to provide an overview of recommendation approaches and to discuss their relevance for AGILE.

Original language	English
Title of host publication	International Workshop on Internet of Things: Networking Applications and Technologies
Pages	504-509
Number of pages	6
Publication status	Published - 2017
Event	International Workshop on Internet of Things: Networking Applications and Technologies - Belgium, Leuven, Belgium Duration: 24 Jul 2017 → 27 Jul 2017 http://emergingtechnet.org/IOTNAT2017/index.php

Workshop

Workshop	International Workshop on Internet of Things: Networking Applications and Technologies
Abbreviated title	IoTNAT
Country/Territory	Belgium
City	Leuven
Period	24/07/17 → 27/07/17
Internet address	http://emergingtechnet.org/IOTNAT2017/index.php

Keywords

Artificial Intelligence
Internet of Things
Recommender Systems

Cite this

@inproceedings{76f3b98a763f425b9d6a7f12aabd453d,

title = "Recommendation Technologies for IoT Edge Devices",

abstract = "The AGILE project (agile-iot.eu) aims to create Internet of Things (IoT) gateway technologies that support many devices, protocols, and corresponding management and development activities. In the context of this project there are scenarios that require the support of recommendation technologies. The major goal of this paper is to provide an overview of recommendation approaches and to discuss their relevance for AGILE.",

keywords = "Artificial Intelligence, Internet of Things, Recommender Systems",

author = "Alexander Felfernig and {Polat Erdeniz}, Seda and Michael Jeran and Arda Akcay",

year = "2017",

language = "English",

pages = "504--509",

booktitle = "International Workshop on Internet of Things: Networking Applications and Technologies",

note = "International Workshop on Internet of Things: Networking Applications and Technologies, IoTNAT ; Conference date: 24-07-2017 Through 27-07-2017",

url = "http://emergingtechnet.org/IOTNAT2017/index.php",

}

TY - GEN

T1 - Recommendation Technologies for IoT Edge Devices

AU - Felfernig, Alexander

AU - Polat Erdeniz, Seda

AU - Jeran, Michael

AU - Akcay, Arda

PY - 2017

Y1 - 2017

N2 - The AGILE project (agile-iot.eu) aims to create Internet of Things (IoT) gateway technologies that support many devices, protocols, and corresponding management and development activities. In the context of this project there are scenarios that require the support of recommendation technologies. The major goal of this paper is to provide an overview of recommendation approaches and to discuss their relevance for AGILE.

AB - The AGILE project (agile-iot.eu) aims to create Internet of Things (IoT) gateway technologies that support many devices, protocols, and corresponding management and development activities. In the context of this project there are scenarios that require the support of recommendation technologies. The major goal of this paper is to provide an overview of recommendation approaches and to discuss their relevance for AGILE.

KW - Artificial Intelligence

KW - Internet of Things

KW - Recommender Systems

M3 - Conference paper

SP - 504

EP - 509

BT - International Workshop on Internet of Things: Networking Applications and Technologies

T2 - International Workshop on Internet of Things: Networking Applications and Technologies

Y2 - 24 July 2017 through 27 July 2017

ER -

Recommendation Technologies for IoT Edge Devices

Abstract

Workshop

Keywords

Fingerprint

Cite this