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Towards a Software Architecture to Provide Hybrid Recommendations for Smart Campuses

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Computer Supported Education (CSEDU 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2052))

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Abstract

Currently, several initiatives have been proposed in order to offer solutions for intelligent university campus environments. It can be said that smart university campuses are a subdomain of the smart cities domain, with some similar problems, but with specificities. Recommender systems identify and suggest relevant information to the user, recognizing their potential interests through specialized algorithms and presenting resources that align with these interests. In the context of intelligent university campuses, recommender systems have been used to define which systems and technologies should be implemented. From this scenario, the objective of this article is to present a software architecture, called SmartC, structured in different services, to provide the essential infrastructure for the application of several recommender systems and a variety of types of items. The services and layers of the architecture were defined especially for intelligent university campuses and divided into three distinct sections: the access environment, the recommendations management environment and the persistence layer. The recommendation algorithms integrated to this architecture are considered hybrids, since they incorporate two types of filtering: content-based filtering and collaborative filtering. When users request new recommendations, the type of filtering will be switched, ensuring that new features are suggested with each system call and avoiding throttling. The developed prototype was evaluated from real item data and showed significant accuracy in the recommendation process.

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Acknowledgements

This research is supported by CNPq/MCTI/FNDCT n. 18/2021 grant n. 405973/ 2021-7. The research by José Palazzo M. de Oliveira is partially supported by CNPq grant 306695/2022-7 PQ-SR. The reasearch by Vinícius Maran is partially supported by CNPq grant 306356/2020-1, CNPq PIBIC program , Fundação de Amparo a Pesquisa do Estado do Rio Grande do Sul (FAPERGS), grant n. 21/2551- 0000693-5 and FAPERGS PROBIC program.

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Authors and Affiliations

  1. Laboratory of Ubiquitous, Mobile and Applied Computing (LUMAC), Polytechnic School, Federal University of Santa Maria, Avenue Roraima, 1000, Santa Maria, Brazil

    Martin Hideki Mensch Maruyama, Luan Willig Silveira, Ana Paula Militz Dorneles, Gabriel Vieira Casanova, Renan Bordignon Poy, Elvandi da Silva Júnior & Vinícius Maran

  2. Informatics Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    José Palazzo M. de Oliveira

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  1. Martin Hideki Mensch Maruyama
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  2. Luan Willig Silveira
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  3. Ana Paula Militz Dorneles
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  4. Gabriel Vieira Casanova
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  6. Elvandi da Silva Júnior
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Correspondence to Vinícius Maran .

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Editors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce M. McLaren

  2. University of Ulster, Newtownabbey, UK

    James Uhomoibhi

  3. University of Belgrade, Belgrade, Serbia

    Jelena Jovanovic

  4. University of Duisburg-Essen, Duisburg, Germany

    Irene-Angelica Chounta

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Maruyama, M.H.M. et al. (2024). Towards a Software Architecture to Provide Hybrid Recommendations for Smart Campuses. In: McLaren, B.M., Uhomoibhi, J., Jovanovic, J., Chounta, IA. (eds) Computer Supported Education. CSEDU 2023. Communications in Computer and Information Science, vol 2052. Springer, Cham. https://doi.org/10.1007/978-3-031-53656-4_1

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  • DOI: https://doi.org/10.1007/978-3-031-53656-4_1

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