You are building an Azure Machine Learning solution for an online retailer.When a customer selects a product, you need to recommend products that the customer might like to purchase
at the same time. The recommendation should be based on what other customers purchased when they
purchased the same product.
Which model should you use?
A.
Collaborative filtering
B.
Boosted Decision Tree Regression model
C.
Two-Class boosted decision tree
D.
K-Means Clustering
Collaborative filtering:
This approach uses only identifiers of the users or items and ratings given by the users to the items. This can learn about a user from the items they have rated and from other users who have rated the same items. Consequently, the algorithm will consider such ratings as the common points in the relationship and will base its recommendations on those.
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