Recommender System for an E-Commerce Application
About this project
• A recommender system with applied Ensemble Learning, featuring matrix factorization clubbed with bagging for optimized result • Addressed common challenges for recommender systems such as Cold Start problem, Data sparsity, accuracy, scalability and diversity, time complexity & compute intensity
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