Volume 5, Issue 2, June 2020, Page: 82-92
Cyber Physical Recommender Systems for IoT Based Applications
Anagha Neelkanth Chaudhari, Department of Computer Engineering, Pimpri Chinchwad College of Engineering, SPPU, Pune, India
Received: Apr. 10, 2020;       Accepted: Apr. 23, 2020;       Published: May 19, 2020
DOI: 10.11648/j.ajset.20200502.14      View  282      Downloads  117
Abstract
Cyber-physical systems (CPS) are often characterized as smart systems, which intelligently interact with other systems across information and physical interfaces. Cyber-physical systems (CPS) are fitting into modern society. CPS integrate multiple techniques, including distributed computing, communication and automatic control, to support variety of intelligent services and applications in many fields, such as transportation, healthcare, entertainment and city infrastructure. Recommender systems in CPS, which always provide information recommendations for users based on historical ratings collected from a single domain only, suffer from the data sparsity problem. Recently, several recommendation models have been proposed to transfer knowledge across multiple domains to alleviate the sparsity problem, which typically assumes that multiple domains share a latent common rating pattern. Recommender systems always results into faster and efficient options/choices as per user’s demands. This technology helps us in retrieval and access of different services like in Healthcare sector, Education, E-Commerce, etc. During the last few decades, with the rise of Youtube, Amazon, Netflix and many other such web services, recommender systems have taken more and more place in our lives. From e-commerce (suggest to buyers articles that could interest them) to online advertisement (suggest to users the right contents, matching their preferences), recommender systems are today unavoidable in our daily online journeys. In this paper, a proposed system architecture focusses on IoT applications utilizing recommender systems for offering number of services to users. Also, various Cyber Physical Recommender Systems are proposed to offer standard quality of service (QoS) for various IoT applications.
Keywords
Cyber Physical Systems (CPS), Internet of Things, Recommender Systems (RS), Collaborative Filtering, Content Based and Hybrid Recommendation
To cite this article
Anagha Neelkanth Chaudhari, Cyber Physical Recommender Systems for IoT Based Applications, American Journal of Science, Engineering and Technology. Special Issue: Recommender Systems Using Cyber Physical Techniques. Vol. 5, No. 2, 2020, pp. 82-92. doi: 10.11648/j.ajset.20200502.14
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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