- Content-based recommendation system on on the Amazon dataset having five attributes for each item - Title, Group, Sales rank, Average rating, and Categories
- Alternating least squares (ALS) algorithm from MLlib package in Apache Spark. ALS solves the matrix factorization problems.
- Movie recommendation using ALS. Movielens100k dataset, which is a set of 100,000 data points related to ratings given by a set of users to a set of movies. The dataset consists of user ID, movie ID, rating, and timestamp fields.
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Scala for ML, Recommendation system
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