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Creating a Personalized Recommendation Framework in Smart Shopping by Using IoT Devices

Topics: Analytics, Intelligence and Knowledge Engineering; Artificial Intelligence; Big Data as a Service (BDaaS) including Software Frameworks, Empirical Approaches and Data Processing Techniques ; Internet of Things; IoT Services and Applications; Machine Learning and Deep Learning Approaches Data Analytics; Recommender Systems, Smart Devices and Location-Awareness; Sensors; Social Science and Implications for Big Data; Software Architecture and Middleware ; Software Engineering for IoT and IoE; Software-Defined Networking, Virtual Data Centers and emerging Data Centers

Authors: Noura Abdaoui 1 ; 2 ; Ismahene Khalifa 3 and Sami Faiz 2 ; 3

Affiliations: 1 ENSI, University of Manouba, Tunisia ; 2 LTSIRS Laboratory, Tunisia ; 3 ISAMM, University of Manouba, Tunisia

Keyword(s): Ubiquitous Recommender System, Personalized Recommendation, IoT, Fog Architecture, Big Data, Context.

Abstract: Personalization and recommendation are two important prerequisites that must be incorporated in the Iot environment where smart devices data are generated anywhere and anytime. Both prerequisites are essential to produce a higher satisfaction level of ubiquitous recommender system which matches the preferences of the user. Is the time to improve the quality of traditional ubiquitous recommender system which failed to exploit dynamic and heterogeneous big data in delivering personalized recommendation. In this paper, we create a framework of personalized recommendations in Smart shopping where Iot devices are connected. We proposed a Fog computing architecture to solve the ubiquitous recommendations issues related to Iot challenges. The given model is a multi-layer fog structure which aims to use the multi sources big data in order to propose personalized offers according to the users’ profiles and analyze their feedbacks to improve their experiences.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Abdaoui, N.; Khalifa, I. and Faiz, S. (2023). Creating a Personalized Recommendation Framework in Smart Shopping by Using IoT Devices. In Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-643-9; ISSN 2184-4976, SciTePress, pages 200-207. DOI: 10.5220/0011969400003482

@conference{iotbds23,
author={Noura Abdaoui. and Ismahene Khalifa. and Sami Faiz.},
title={Creating a Personalized Recommendation Framework in Smart Shopping by Using IoT Devices},
booktitle={Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2023},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011969400003482},
isbn={978-989-758-643-9},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Creating a Personalized Recommendation Framework in Smart Shopping by Using IoT Devices
SN - 978-989-758-643-9
IS - 2184-4976
AU - Abdaoui, N.
AU - Khalifa, I.
AU - Faiz, S.
PY - 2023
SP - 200
EP - 207
DO - 10.5220/0011969400003482
PB - SciTePress

- Science and Technology Publications, Lda.
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