A Comprehensive Review on Big Data Recommendation and Data Empowerment

Haoyang Hu ()
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Haoyang Hu: Xinjiang Normal University, School of Mathematical Science

A chapter in Proceedings of the 2024 2nd International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024), 2025, pp 140-150 from Springer

Abstract: Abstract The widespread adoption of the internet has led to exponential growth in user-generated data, challenging the effectiveness of conventional information retrieval methods. Institutions are increasingly eager to enhance user satisfaction and business revenue through precise recommendation systems. Concurrently, advancements in technologies such as cloud computing and artificial intelligence have endowed big data recommendation techniques with more potent computational and analytical capabilities. This paper presents a comprehensive review of state-of-the-art big data recommendation and data empowerment, discussing the challenges and opportunities in this rapidly evolving field. It explores the concept of data empowerment, illustrating how enhanced data utilization can lead to superior decision-making and operational efficiencies across various sectors. The review also addresses future research and development directions, highlighting the potential for further innovation in leveraging big data for personalized recommendations and actionable insights.

Keywords: Big data processing; Data recommendation; Data empowerment; Cloud computing; User satisfaction (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-706-9_14

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DOI: 10.2991/978-94-6463-706-9_14

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