IoT 22(29): e5

Research Article

Recommendation System Comparative Analysis: Internet of Things aided Networks

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  • @ARTICLE{10.4108/eetiot.v8i29.1108,
        author={Wasswa Shafik and S. Mojtaba Matinkhah and Fawad Shokoor},
        title={Recommendation System Comparative Analysis: Internet of Things aided Networks},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={8},
        number={29},
        publisher={EAI},
        journal_a={IOT},
        year={2022},
        month={5},
        keywords={Companion Recommendations, Privacy, Security, Social Networks Systems},
        doi={10.4108/eetiot.v8i29.1108}
    }
    
  • Wasswa Shafik
    S. Mojtaba Matinkhah
    Fawad Shokoor
    Year: 2022
    Recommendation System Comparative Analysis: Internet of Things aided Networks
    IOT
    EAI
    DOI: 10.4108/eetiot.v8i29.1108
Wasswa Shafik1, S. Mojtaba Matinkhah1,*, Fawad Shokoor1
  • 1: Yazd University
*Contact email: matinkhah@yazd.ac.ir

Abstract

Today, the public is not willing to spend much time identifying their personal needs. Therefore, it needs a system that automatically recommends customized items to customers. The Recommender system has an internet of things (IoT) that entails a subclass of evidenced-based sieving structures that pursues to forecast the assessment of a customer would stretch to an item. Within social networks, numerous categories of RS operate on different recommendation expertise. In this state-of-the-art, we describe and classify current studies from three different aspects by describing different methods of recommender systems. The Friend Recommendation System in social networks is necessary and inevitable, and it is due to this kind of coordination that inevitably recommends latent friends to customers. Making recommendations for friends is an imperative assignment for community networks, as obligating supplementary networks customarily superiors to enhanced customer experience.