IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v7y2025i6id10087.html

The Growing Role of AI in Personalizing User Experiences: A Comprehensive Analysis

Author

Listed:
  • Chandra Sekar Nandanavanam

    (Sri Krishnadevaraya University, India)

Abstract

Artificial Intelligence is revolutionizing digital experiences through advanced personalization technologies that fundamentally transform how digital platforms interact with users. This comprehensive analysis explores the multifaceted landscape of AI-driven personalization, examining its profound impact across various domains, including digital marketing, educational technologies, and user engagement strategies. By leveraging sophisticated machine learning algorithms, deep learning neural networks, and contextual intelligence, these technologies create increasingly nuanced, adaptive, and intelligent systems that can precisely understand and anticipate individual user needs. The article delves into the technological foundations, cross-platform strategies, ethical considerations, and future trajectories of personalization technologies, highlighting their potential to create more meaningful, responsive, and individualized digital experiences.

Suggested Citation

  • Chandra Sekar Nandanavanam, 2025. "The Growing Role of AI in Personalizing User Experiences: A Comprehensive Analysis," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(6), pages 812-816, June.
    • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:10087
    DOI: 10.32996/jcsts.2025.7.96
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/10087
    File Function: Abstract page
    Download Restriction: no
    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/10087/8781
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32996/jcsts.2025.7.96?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:alk:jcsts0:v:7:y:2025:i:6:id:10087. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jcsts .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.