stefanpantic / als-recommender

Recommendation system using alternating least squares method

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ALS (Alternating Least Squares) Recommender

Recommender implementation using Alternating Least Squares method for matrix factorization in Collaborative Filtering. In collaborative filtering matrix factorization is the state-of-the-art solution for sparse data problems, often found when dealing with input data of recommendation systems.

A lecture on the topic can be found here. The research paper can be found here.

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Recommendation system using alternating least squares method


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