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An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Machine Learning

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Data Analytics for Internet of Things Infrastructure

Part of the book series: Internet of Things ((ITTCC))

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Abstract

Recommendation systems for suggesting products are crucial, particularly in streaming services. Recommendation algorithms are crucial for helping viewers find new movies they like on streaming movie platforms like Netflix. In this chapter, we create a smart algorithm that makes an optimistic choice to design a collaborative filtering system that forecasts movie ratings for a user based on a significant database of user ratings. According to the genres that users like to watch, it suggests movies that are the greatest fit for them. The cumulative influence of user ratings and reviews produces the list of suggested films. A statistical analysis is performed to develop a pilot survey model to analyze the real-time dataset. Ant Colony Optimization (ACO) is deployed to determine the rating of the group members’ for future recommendation. In this way, sparsity problems will be optimized in a recommender system. A real-time dataset named as Movielens is used to validate the proposed model. Finally, deploy k-fold cross validation to evaluate the performance metric.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Atria Institute of Technology, Bengaluru, Karnataka, India

    Manash Sarkar, Shiwangi Singh & V. L. Soundarya

  2. LAMIH UMR CNRS 8201, Department of Computer Science, Université Polytechnique Hauts-de-France, Valenciennes, France

    Maroi Agrebi

  3. College of technical engineering, The Islamic University, Najaf, Iraq

    Ahmed Alkhayyat

  4. Expert Data Scientist, Limendo, Bolzano, Italy

    Manash Sarkar

Authors
  1. Manash Sarkar
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  2. Shiwangi Singh
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  3. V. L. Soundarya
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  4. Maroi Agrebi
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  5. Ahmed Alkhayyat
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Corresponding author

Correspondence to Manash Sarkar .

Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  2. Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

  3. Xi’an Shiyou University, Xi'An, China

    Yan Zhang

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Sarkar, M., Singh, S., Soundarya, V.L., Agrebi, M., Alkhayyat, A. (2023). An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Machine Learning. In: Sharma, R., Jeon, G., Zhang, Y. (eds) Data Analytics for Internet of Things Infrastructure. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-33808-3_10

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  • DOI: https://doi.org/10.1007/978-3-031-33808-3_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33807-6

  • Online ISBN: 978-3-031-33808-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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