Machine Learning, AI and Programming

Tag: Implicit Feedback

Designing Movie Recommendation Engines - Part III

In the last two parts of this series, we have been looking at how to design and implement a movie recommendations engine using the MovieLens' 20 million ratings dataset. We have looked at some of the most common and standard techniques out there namely Content based recommendations, Collaborative Filtering and Latent Factor based Matrix Factorization strategy. Clearly CF and MF approaches emerged as the winners due to their accuracy and […]

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