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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.

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

  • 会议论文

  • 发表日期：

    2025年

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  • Francesco Colace,
  • Rosario Gaeta,
  • Domenico Santaniello,
  • Alfredo Troiano,
  • Carmine Valentino

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.