From Data to Decisions: The Power of Machine Learning in Business Recommendations

This research aims to explore the impact of machine learning (ML) on the evolution and efficacy of recommendation systems (RS), particularly in the context of their growing significance in commercial business environments. Methodologically, the study delves into the role of ML in crafting and refini...

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Bibliographic Details
Main Authors:	Kapilya Gangadharan, Anoop Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, Soon Ki Jung
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Business recommendation data governance and management machine learning personalized recommendations recommendation systems
Online Access:	https://ieeexplore.ieee.org/document/10849522/
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From Data to Decisions: The Power of Machine Learning in Business Recommendations

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