Databricks Generative AI Engineer Associate Question 16
Single answerA retail company wants to implement a solution to provide personalized product recommendations to its customers based on their browsing history and purchase behavior. Which type of model task is most suitable to achieve this business requirement?
- A
Text summarization
- B
Image classification
- C
Recommendation system
- D
Sentiment analysis
Show answer and explanation
Correct answer: C
Explanation
A recommendation system is the most suitable model task for this scenario as it is designed to analyze user behavior, such as browsing history and purchase patterns, to suggest personalized items. Other model tasks like text summarization, image classification, and sentiment analysis do not address the core requirement of delivering personalized product recommendations.
- A. Incorrect.
Text summarization is used to condense a large body of text into a shorter version while retaining key information. This is not relevant to the task of providing product recommendations.
- B. Incorrect.
Image classification is used to categorize images into predefined classes. This is not applicable for analyzing customer behavior or browsing history.
- C. Correct.
Recommendation system models are specifically designed to suggest relevant items, such as products, to users based on their past behavior and preferences, which aligns directly with the business requirement.
- D. Incorrect.
Sentiment analysis involves analyzing text data to determine the sentiment or emotional tone (e.g., positive, negative, neutral). While it can provide insights into customer feedback, it does not fulfill the task of providing personalized recommendations.