MLS-C01 Question 127
Single answerA retail company wants to improve its online sales by providing personalized product recommendations to users based on their browsing history and past purchases. The business team has approached you, a Machine Learning Specialist, to design a solution. How should you frame this business problem as an ML problem?
- A
Classify products into predefined categories based on user reviews.
- B
Build a regression model to predict the total revenue generated by a user.
- C
Develop a recommendation system to suggest products that a user is likely to purchase.
- D
Cluster users into groups based on their purchase behavior for targeted marketing.
Show answer and explanation
Correct answer: C
Explanation
To frame the business problem as an ML problem, you need to align the business goal with a specific ML task. The business goal in this scenario is to provide personalized product recommendations. Developing a recommendation system is the appropriate ML solution for this problem, as it uses user data, such as browsing history and past purchases, to suggest relevant products. Other options, like classification, regression, or clustering, do not directly address this business objective.
- A. Incorrect.
This option focuses on classifying products into categories, which is unrelated to the goal of providing personalized recommendations.
- B. Incorrect.
A regression model to predict revenue is unrelated to the specific goal of suggesting personalized product recommendations.
- C. Correct.
This is the correct answer because a recommendation system directly addresses the need for providing personalized product suggestions to users based on their browsing and purchase history.
- D. Incorrect.
Clustering users into groups could help in targeted marketing, but it does not directly address the problem of providing personalized product recommendations.