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State of the Art

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Recommender System for Improving Customer Loyalty

Part of the book series: Studies in Big Data ((SBD,volume 55))

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Abstract

In this chapter, different types of available information technology solutions supporting customer relationship management as well as collecting the customer feedback, are discussed, with the focus on the new generation on intelligent decision support and recommender systems.

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Author information

Authors and Affiliations

  1. Department of Computer Science, San Jose State University, San Jose, CA, USA

    Katarzyna Tarnowska

  2. Department of Computer Science, University of North Carolina, Charlotte, NC, USA

    Zbigniew W. Ras

  3. Polish-Japanese Academy of Information Technology, Warsaw, Poland

    Zbigniew W. Ras

  4. The Daniel Group, Charlotte, NC, USA

    Lynn Daniel

Authors
  1. Katarzyna Tarnowska
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  2. Zbigniew W. Ras
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  3. Lynn Daniel
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Corresponding author

Correspondence to Katarzyna Tarnowska .

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Tarnowska, K., Ras, Z.W., Daniel, L. (2020). State of the Art. In: Recommender System for Improving Customer Loyalty. Studies in Big Data, vol 55. Springer, Cham. https://doi.org/10.1007/978-3-030-13438-9_3

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