International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Privacy Preserving Recommender Systems

Author(s) Akash Sharma, Niraj Kumar Goswami, Bardan Luitel
Country India
Abstract Privacy-preserving recommender systems are a growing area of research and development due to concerns about user privacy in digital environments. This review paper examines the existing methodologies and techniques used in designing and implementing these systems, focusing on their application in e-commerce, social media, and personalized content delivery platforms. The paper discusses the fundamental principles of privacy-preserving recommender systems and the motivations behind their need. The review also highlights the challenges and opportunities associated with existing privacy-preserving recommender systems, including scalability, efficiency, and usability. In this review, we focus on the challenges and opportunities that come with recommendation systems, and compare different systems to see how well they scale up, how fast they work, and how easy they are to use.
Keywords Privacy Preserving, Recommender Systems, User privacy, Data Protection, Privacy-preserving recommender systems
Field Computer
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-14
Cite This Privacy Preserving Recommender Systems - Akash Sharma, Niraj Kumar Goswami, Bardan Luitel - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20301
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