Amirmohammad Kazemeini
Amirmohammad Kazemeini
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A Comprehensive Review of Recommender Systems: Transitioning from Theory to Practice
A comprehensive 2017–2024 survey of recommender systems, bridging traditional techniques and modern deep learning, graph-based, reinforcement learning, and LLM-based approaches across e-commerce, healthcare, and finance.
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