Vol. 1 No. 2 (2022): Volume-I, Number-II, 2022
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Personalized Product Recommendation Systems in E-commerce - A Hybrid Approach Using Reinforcement Learning and Natural Language Processing
Abstract 1
Personalized recommendation systems are central to modern e-commerce, driving customer engagement, conversion, and lifetime value. Traditional collaborative filtering and supervised deep learning methods excel at modeling historical preferences but struggle with sequential decision-making, long-term user objectives, and incorporating unstructured textual signals from reviews and queries. This p ... read more