A Framework Based on Internet of Things and Recommender Systems for Thermal Facilities

被引：0

作者：

Colace, Francesco ^{[1
]}

Gaeta, Rosario ^{[1
]}

Santaniello, Domenico ^{[1
]}

Troiano, Alfredo ^{[2
]}

Valentino, Carmine ^{[1
]}

机构：

[1] Univ Salerno, Fisciano, Italy

[2] NetCom Grp, Naples, Italy

来源：

PROCEEDINGS OF NINTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, VOL 9, ICICT 2024 | 2025年 / 1054卷

关键词：

Recommender Systems; Context-awareness; Anomaly detection; Internet of Things;

D O I：

10.1007/978-981-97-5035-1_8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The widespread diffusion of the Internet of Things allows its application in several fields for providing services to users based on the specific application. In particular, thermal facilities can exploit data acquired through the Internet of Things paradigm to monitor the structure and its treatments and improve the user experience. Therefore, this work introduces a framework to control anomalies and improve the personalization of treatments based on the employment of Recommender Systems. The recommendation approach is tested through the MovieLens100k dataset, obtaining promising results.

引用

页码：109 / 119

页数：11

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