Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)

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A Comprehensive Review on Big Data Recommendation and Data Empowerment

Authors
Haoyang Hu1, *
1School of Mathematical Science, Xinjiang Normal University, Urumqi, Xinjiang, 830054, China
*Corresponding author. Email: h18200252381@163.com
Corresponding Author
Haoyang Hu
Available Online 7 May 2025.
DOI
10.2991/978-94-6463-706-9_14How to use a DOI?
Keywords
Big data processing; Data recommendation; Data empowerment; Cloud computing; User satisfaction
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.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
7 May 2025
ISBN
978-94-6463-706-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-706-9_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haoyang Hu
PY  - 2025
DA  - 2025/05/07
TI  - A Comprehensive Review on Big Data Recommendation and Data Empowerment
BT  - Proceedings of the 2024 2th International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2024)
PB  - Atlantis Press
SP  - 140
EP  - 150
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-706-9_14
DO  - 10.2991/978-94-6463-706-9_14
ID  - Hu2025
ER  -