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Recent Challenges in Recommender Systems: A Survey

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1199))

Abstract

The recent revolutionary technology transformations in the internet domain have enabled us to move from static web pages to ubiquitous computing web through social networking web. In return, this has enabled the recommender systems to leave their infancy and get matured while tackling the dynamic challenges arising for users. Recommender system anticipates user requirements before the user requires them. Recommender system in various domains proves its efficiency by providing appropriate recommendations according to the preferences of the users. It is a software solution in different online applications which helps the user to make appropriate decisions and also acts as a business tool in various domains. The proposed article covers the various types of recommender systems as well as the strategies and recent challenging research issues to improve the capabilities of recommender systems.

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Authors and Affiliations

  1. Department of Computer Science, IIIT, Bhubaneswar, India

    Madhusree Kuanr & Puspanjali Mohapatra

Authors
  1. Madhusree Kuanr
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  2. Puspanjali Mohapatra
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Correspondence to Puspanjali Mohapatra .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India

    Chhabi Rani Panigrahi

  2. Department of Computer Science, Rama Devi Women's University, Bhubaneswar, India

    Bibudhendu Pati

  3. Department of Computer Science, University of California, Davis, CA, USA

    Prasant Mohapatra

  4. Cloud Computing and Distributed Systems (CLOUDS) Lab, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

  5. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Kuanr, M., Mohapatra, P. (2021). Recent Challenges in Recommender Systems: A Survey. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1199. Springer, Singapore. https://doi.org/10.1007/978-981-15-6353-9_32

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  • DOI: https://doi.org/10.1007/978-981-15-6353-9_32

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-15-6353-9

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