Recommender System for an E-Commerce Application

Rashmi Badadale

Software Engineering | Machine Learning | Data Science

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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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