An Agent based Platform for Resources Recommendation in Internet of Things

Agostino Forestiero, Giuseppe Papuzzo

2020

Abstract

Internet of Things (IoT) paradigm aims to bridge the gap between physical and cyber world allowing a deeper understanding of users in terms of preferences and behaviors. User devices and services interact and maintain relations which need of effective and efficient selection/suggestion approaches to better meet users’ interests. Recommendation systems provide a set of significant and useful suggestions for users and systems with given characteristics. This paper introduces the design of an agent based platform for building a distributed recommendation system in IoT environment. Internet of Things objects (devices, sensors, services, etc.) are represented with vectors obtained through the Doc2Vec model, a neural word embedding approach able to capture the semantic context representing documents in dense vectors. The vectors are managed by cyber agents that, performing simple and local operations, organize themselves exploiting the vector values. The outcome is the emergence of an organized overlay-network of cyber agents that allows to obtain an efficient recommender system of IoT services. Preliminaries results confirm the validity of the approach.

Paper Citation

in Harvard Style

Forestiero A. and Papuzzo G. (2020). An Agent based Platform for Resources Recommendation in Internet of Things.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 775-779. DOI: 10.5220/0009573207750779

in Bibtex Style

@conference{iceis20,
author={Agostino Forestiero and Giuseppe Papuzzo},
title={An Agent based Platform for Resources Recommendation in Internet of Things},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={775-779},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009573207750779},
isbn={978-989-758-423-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Agent based Platform for Resources Recommendation in Internet of Things
SN - 978-989-758-423-7
AU - Forestiero A.
AU - Papuzzo G.
PY - 2020
SP - 775
EP - 779
DO - 10.5220/0009573207750779