Built book recommendation system using data extracted from 26m Amazon book reviews and 6m Goodreads reviews. Used collaborative filtering via implicit ALS algorithm to build ensemble of 5 models on user:user, user:item, and item:item vectors. Ongoing NLP work on reviews for topic modeling. (AWS, Big Data, MongoDB, PySpark, PyTorch, Spotlight, Implicit, Cython, OpenMP, NLTK)
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Book recommendation system built from 32m book reviews (AWS, Big Data, MongoDB, PySpark, PyTorch, Spotlight, Implicit, Cython, OpenMP, NLTK)
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