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Recommendation System Based on Machine Learning and Deep Learning in Varied Perspectives: A Systematic Review

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Information and Communication Technology for Competitive Strategies (ICTCS 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 190))

Abstract

Being in the digital world wherein limitless information is in the reach of everyone, people spend enormous amount of time in various search engines to find information of their interest. Simple search engines are no more an option as many a times needs are not explicitly understood. This needs search engines that are smart enough to gather user needs based on history and ability to find relevant information from infinite information. Machine Learning and Deep Learning are some of the techniques solving the need on personalized recommendations. In this state-of-the-art comprehension, majorly based on the published research paper results from around 98 journals, books, and conference proceedings obtained during the past decade to the latest one. This will expose the various types of recommendation system domains and their machine learning techniques that have been implemented in the prior works. Then will discuss the problems, trends, and solution that were presented not only on the research papers but also on the developments that are practically happening on real-world.

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Authors and Affiliations

  1. Department of Computer Application, Hindustan Institute of Technology and Science, Chennai, India

    T. B. Lalitha & P. S. Sreeja

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  1. T. B. Lalitha
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  1. Jahangirnagar University, Dhaka, Bangladesh

    M. Shamim Kaiser

  2. Shaanxi Normal University, Xi’an, China

    Juanying Xie

  3. IIS Deemed to be University, Jaipur, Rajasthan, India

    Vijay Singh Rathore

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Lalitha, T.B., Sreeja, P.S. (2021). Recommendation System Based on Machine Learning and Deep Learning in Varied Perspectives: A Systematic Review. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-16-0882-7_36

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