Behavioral recommendation engine driven by only non-identifiable user data

Behavioral recommendation engine driven by only non-identifiable user data

Most recommendation systems utilize personal data to device personalized recommendations for users. Even though it seems favorable, security risks like data breaches are inevitable. This research proposes a novel reinforcement learning ‘approach’ to recommend users without collecting identifiable da...

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Bibliographic Details
Main Authors: Kishor Datta Gupta, Nafiz Sadman, Akib Sadmanee, Md. Kamruzzaman Sarker, Roy George
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Machine Learning with Applications
Subjects:
Security
Privacy
Recommender systems
Reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022001177

Internet

http://www.sciencedirect.com/science/article/pii/S2666827022001177

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