Question

Which algorithm is commonly used for collaborative filtering in recommendation systems?

Q: Answer-Which algorithm is commonly used for collaborative filtering in recommendation systems?

The k-nearest neighbors algorithm, also known as KNN or k-NN, is a non-parametric, supervised learning classifier, which uses proximity to make classifications or predictions about the grouping of an individual data point.

A Decision Trees

B k-Nearest Neighbors (k-NN)

C Support Vector Machines (SVM)

D Naive Bayes

E None of these

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Which algorithm is commonly used for collaborative filtering in recommendation systems?

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