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 b

The correct answer is C. Build a collaborative-based filtering model. Collaborative filtering is a technique that recommends items to users based on the ratings of other users. It works by finding users who have similar ratings to the current user and then recommending items that those users have liked. https://cloud.google.com/architecture/recomme

Submitted by valeria.br· Apr 18, 2026ML model development

Question

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?

Options

ABuild a classification model
BBuild a knowledge-based filtering model
CBuild a collaborative-based filtering model
DBuild a regression model using the features as predictors

How the community answered

(36 responses)

A
14% (5)
B
6% (2)
C
72% (26)
D
8% (3)

Explanation

Collaborative filtering is a technique that recommends items to users based on the ratings of other users. It works by finding users who have similar ratings to the current user and then recommending items that those users have liked. https://cloud.google.com/architecture/recommendations-using-machine-learning-on-compute- engine#filtering_the_data

Topics

#Recommendation Systems#Collaborative Filtering#Model Selection#Personalization

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