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Revolutionising content recommendation: The impact of AI in marketing

Author

Listed:
  • Ip, Ken

    (Chairman, Asia MarTech Society, Hong Kong)

Abstract
Artificial intelligence (AI) has become an integral part of the marketing industry, particularly in the area of content recommendation. By utilising data analysis and machine learning (ML) algorithms, AI systems can suggest personalised content to consumers, enhancing their browsing and viewing experiences. This paper examines the use of AI in marketing and how it is revolutionising content recommendation. It looks at the benefits and challenges of AI in marketing, the types of AI models used in content recommendation and how these models work to provide tailored content to consumers. The paper also explores the ethical implications of AI in marketing and the need for regulations to ensure consumer privacy and prevent bias. Overall, this paper aims to provide a comprehensive overview of AI in marketing and its impact on content recommendation.

Suggested Citation

  • Ip, Ken, 2023. "Revolutionising content recommendation: The impact of AI in marketing," Journal of AI, Robotics & Workplace Automation, Henry Stewart Publications, vol. 2(4), pages 382-389, June.
    • Handle: RePEc:aza:airwa0:y:2023:v:2:i:4:p:382-389
    as

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    More about this item

    Keywords

    artificial intelligence; marketing; content recommendation; machine learning; personalisation; ethics;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • G2 - Financial Economics - - Financial Institutions and Services

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