Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)

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Guess Your Favorite or Your Privacy? Privacy Protection of Multimodal Data in E-commerce

Authors
Weiqiang Li1, *
1Zhanjiang University of Science and Technology, Zhanjiang, 524086, China
*Corresponding author. Email: liyuze@zjkju.edu.cn
Corresponding Author
Weiqiang Li
Available Online 1 October 2024.
DOI
10.2991/978-94-6463-531-7_14How to use a DOI?
Keywords
Multimodal data; Privacy protection; Personalized recommendation
Abstract

The rise of e-commerce has seen a surge in personalized recommendation systems, greatly enhancing user experience and boosting sales. This paper explores the integration of multimodal data in e-commerce recommendations and the privacy challenges it brings. Multimodal data, combining different sensory inputs, offers a rich source for recommendations but also raises concerns about data fusion and privacy. To address these challenges, the paper suggests strategies like differential privacy, federated learning, encryption, access control, and anonymization. These approaches aim to maintain effective recommendations while safeguarding user privacy. Looking ahead, the paper discusses future trends in multimodal data privacy, including emerging technologies, standardization, and user education.

Copyright
© 2024 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 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
Series
Advances in Engineering Research
Publication Date
1 October 2024
ISBN
978-94-6463-531-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-531-7_14How to use a DOI?
Copyright
© 2024 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  - Weiqiang Li
PY  - 2024
DA  - 2024/10/01
TI  - Guess Your Favorite or Your Privacy? Privacy Protection of Multimodal Data in E-commerce
BT  - Proceedings of the 9th International Conference on Engineering Management and the 2nd Forum on Modern Logistics and Supply Chain Management (ICEM-MLSCM 2024)
PB  - Atlantis Press
SP  - 108
EP  - 114
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-531-7_14
DO  - 10.2991/978-94-6463-531-7_14
ID  - Li2024
ER  -