WIP: Context-Aware Recommendations for Smart Campus Environments

The rapid convergence of IoT technologies and artificial intelligence is reshaping university campuses into dynamic, smart environments. Faced with the challenge of managing increasingly complex and heterogeneous data streams, campus communities often struggle to benefit fully from available digital resources and personalized support. In response, this work presents a modular and scalable system designed to provide context-aware recommendations that enhance both academic and social experiences. By integrating data from physical sensors, mobile devices, and external sources, the proposed framework captures rich contextual insights to deliver adaptive, personalized services that address the diverse needs of students, faculty, and administrative staff. Developed as part of the S3 Campus project at the University of Palermo, this system represents a significant step forward in fostering innovative, intelligent campus solutions that are attuned to the evolving demands of modern educational environments.

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Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/smartcomp65954.2025.00044
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

WIP: Context-Aware Recommendations for Smart Campus Environments

Alessandra De Paola, Giuseppe Lo Re, Vincenzo Agate, Marco Morana et al.
IoT and Edge/Fog Computing
article

WIP: Context-Aware Recommendations for Smart Campus Environments

Alessandra De Paola, Giuseppe Lo Re, Vincenzo Agate, Marco Morana, Antonio Virga
article en

Abstract

The rapid convergence of IoT technologies and artificial intelligence is reshaping university campuses into dynamic, smart environments. Faced with the challenge of managing increasingly complex and heterogeneous data streams, campus communities often struggle to benefit fully from available digital resources and personalized support. In response, this work presents a modular and scalable system designed to provide context-aware recommendations that enhance both academic and social experiences. By integrating data from physical sensors, mobile devices, and external sources, the proposed framework captures rich contextual insights to deliver adaptive, personalized services that address the diverse needs of students, faculty, and administrative staff. Developed as part of the S3 Campus project at the University of Palermo, this system represents a significant step forward in fostering innovative, intelligent campus solutions that are attuned to the evolving demands of modern educational environments.

University of Palermo (IT)
Openalex Percentile: Top 83%
IoT and Edge/Fog Computing
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