What should you do?
You are an ML engineer at a global shoe store. You manage the ML models for the company’s website. You are asked to build a model that will recommend new products to the user based on their purchase behavior and similarity with other users.
What should you do?
A . Build a classification model
B . Build a knowledge-based filtering model
C . Build a collaborative-based filtering model
D . Build a regression model using the features as predictors
Answer: C
Explanation:
Reference:
https://cloud.google.com/solutions/recommendations-using-machine-learning-on-compute-engine
https://developers.google.com/machine-learning/recommendation/collaborative/basics
https://cloud.google.com/architecture/recommendations-using-machine-learning-on-compute-engine#filtering_the_data
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