/Movie-Recommendation-System

hybrid model by ensembling content-based and Collaborative based Filtering . Implemented stoplist ,eliminated outlier bot users and Decompstion by Singular Value Decomposition Applied RBM based model .scaled up with spark ALS and sage maker. calculated hit-rate, coverage, diversity, novelity and error

Primary LanguagePythonMIT LicenseMIT

Movie-Recommendation-System

hybrid model by ensembling content-based and Collaborative based Filtering . Implemented stoplist ,eliminated outlier bot users and Decompstion by Singular Value Decomposition Applied RBM based model .scaled up with spark ALS and sage maker. calculated hit-rate, coverage, diversity, novelity and error

content based filtering on genre and yearwise popularity seperately and combining results

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user-user and item-item based collobartive filtering

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Singular Value Decomposition recommendations

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hybrid model ensembling content and rbm models

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best results using pyspark als and sagemaker matrix factorization model

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