M05 - Recommenders

Just to remind what we understand as a recommenders:

Recommenders - Recommendation models, are a commonly used type of machine learning solution that matches users to items. While you can use regression, classification, and clustering models to build recommenders, a more common approach is to use a filter-based recommender that uses matrix factorization. This is a technique in which known ratings given by users to items are used to determine likely ratings that are not present in the matrix.

1. Algorithms for recommendation

2. Recommender process

Maybe we will need to use matrix factorization, item recommendation or find related to each other users, items or maybe predict rating.

3. Metrics for recommendations

Azure ML modules:

Posted with : Machine Learning

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