Databricks Generative AI Engineer Associate Question 13
Single answerA retail company wants to implement a system that can recommend products to customers based on their previous purchases and browsing history. Which type of model task is the most suitable to fulfill this business requirement?
- A
Classification
- B
Regression
- C
Recommendation
- D
Clustering
Show answer and explanation
Correct answer: C
Explanation
The business requirement is to recommend products based on a customer's previous actions, such as purchases and browsing history. The most appropriate model task for this scenario is recommendation, as it is specifically designed to provide personalized suggestions to users. Other tasks such as classification, regression, and clustering do not directly address the goal of providing product recommendations.
- A. Incorrect.
Classification is used for tasks where the goal is to assign a label or category to an input, such as predicting whether an email is spam or not. This does not align with the need to recommend products.
- B. Incorrect.
Regression is used for tasks involving numerical predictions, such as predicting sales or stock prices. It does not directly address the need to recommend products.
- C. Correct.
Recommendation is specifically designed to suggest items to users based on their preferences, purchases, or browsing behavior. This directly aligns with the business requirement.
- D. Incorrect.
Clustering is used for grouping similar items together, such as customer segmentation. While it could indirectly aid in recommendations, it is not the primary task for this requirement.