AI-Driven Personalization in Voice Search Systems

  • Authors

    • Dr. Ali Reza Professor, University of Tehran, Iran. Author

    DOI:

    https://doi.org/10.67228/3142788X/IJMLPA-2018PI6W3H

    Published 04-04-2018

  • Artificial Intelligence, Voice Search, Personalization, Natural Language Processing, Machine Learning, Deep Learning, User Experience, Contextual Understanding, Speech Recognition, Sentiment Analysis

    Issue

    Vol. 1 No. 1 (2018)

    Section

    Articles

    How to Cite

    [1]
    A. Reza, “AI-Driven Personalization in Voice Search Systems”, IJMLPA, vol. 1, no. 1, pp. 01–07, Apr. 2018, doi: 10.67228/3142788X/IJMLPA-2018PI6W3H.

  • Abstract

    The integration of Artificial Intelligence (AI) into voice search systems has revolutionized user experiences by enabling personalized, context-aware interactions. This paper explores the role of AI-driven personalization in voice search, examining how AI technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL) enhance the relevance and accuracy of voice-activated responses. We analyze the impact of personalized voice search on user engagement, decision-making, and brand interaction, highlighting both the opportunities and challenges it presents. Through a comprehensive review of current research and practical applications, this study provides insights into the future trajectory of AI in voice search personalization.​

  • References

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