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Design of Personalized Recommender System based on Hybrid Filtering and Fog Computing Architecture: Survey of Recent Personalized Recommender Systems in Ubiquitous and IoT Environment

Authors:
Abdaoui Noura
Hadj Khalifa Ismahene
Faiz Sami

Keywords: Ubiquitous Recommender System; personalized recommendation; hybrid recommender approach; fog architecture; IoT

Abstract:
Ubiquitous recommendation systems aim to provide users personalized recommendations of online products or services. Various recommendations techniques have been developed to fulfill the needs in different scenarios. This paper presents a survey of recent Personalized Recommender Systems in Ubiquitous and Internet of Things (IoT) environment, followed by an in-depth analysis of groundbreaking advances in recommendation systems based on big data. Furthermore, this paper discusses the issues faced in modern recommendation systems, such as sparsity, scalability, and diversity and illustrates how these challenges can be transformed into personalized recommender model that is described in the final Section. The novel recommender model aims to integrate hybrid filtering technique and fog architecture in order to generate contextual and personalized recommendations. The Fog computing architecture aims to solve the ubiquitous recommendations issues related to IoT challenges. As result, the given model is a multi-layer fog structure which is implemented in Smart shopping and used multi sources big data in order to propose personalized offers according to the users' profiles and analyze their feedbacks to improve their experiences.

Pages: 31 to 38

Copyright: Copyright (c) IARIA, 2023

Publication date: April 24, 2023

Published in: conference

ISSN: 2308-3956

ISBN: 978-1-68558-077-3

Location: Venice, Italy

Dates: from April 24, 2023 to April 28, 2023