Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning

Enhancing Mobile App Recommendations With Crowdsourced Educational Data Using Machine Learning and Deep Learning

In the rapidly evolving digital landscape, personalized recommendations have become essential for enhancing user experience. Machine learning models analyze user behavior patterns to suggest relevant entertainment, education, or e-commerce content. Mobile devices make it easier to gather educational...

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Bibliographic Details
Main Authors: Naadiya Mirbahar, Kamlesh Kumar, Asif Ali Laghari
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
deep learning
recommender system
Online Access:https://ieeexplore.ieee.org/document/10879493/
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https://ieeexplore.ieee.org/document/10879493/

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