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Identification of Customer Preferences by Using the Multichannel Personalization for Product Recommendations

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Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

At present most of the retailers are utilizing the personalization concept in various advertisements for improving customers’ familiarity and their interest in different offers. However, the product recommendation is the most popular and commonly used personalization in current advertisements. Also, the previously published works illustrated the specific design of product aspects on a retailer’s website without depending on the additional consultation ways. In this work, the design and analysis of personalized recommendations have been done in different channels by focusing on customer expectations. Here, the male, and female customer’s concepts are determined by the advertising concept as a very good idea for evaluating the customer’s intentions for selecting the product recommendations from the multiple recommendations.

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Author information

Authors and Affiliations

  1. Vellore Institute of Technology, Katpadi, Vellore, Tamil Nadu, 632014, India

    B. Ramakantha Reddy & R. Lokesh Kumar

Authors
  1. B. Ramakantha Reddy
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  2. R. Lokesh Kumar
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Corresponding author

Correspondence to R. Lokesh Kumar .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Rajendra Prasad Yadav

  2. Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Satyasai Jagannath Nanda

  3. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Prashant Singh Rana

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Meng-Hiot Lim

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Ramakantha Reddy, B., Lokesh Kumar, R. (2023). Identification of Customer Preferences by Using the Multichannel Personalization for Product Recommendations. In: Yadav, R.P., Nanda, S.J., Rana, P.S., Lim, MH. (eds) Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-8742-7_6

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