MLS-C01 Question 11
Select 3You are building a recommendation system for an e-commerce platform that suggests products to users based on their preferences and behavior. Which of the following data sources would be most appropriate to identify and enhance the recommendation system's performance?
- A
User purchase history collected from the platform's transactional database
- B
Real-time weather data from a third-party API
- C
Product catalog metadata, including categories, prices, and descriptions
- D
User demographic data such as age, location, and gender
- E
Social media trends unrelated to the platform's products
Show answer and explanation
Correct answers: A, C, D
Explanation
The most appropriate data sources for this recommendation system are those that provide insights into user behavior (e.g., purchase history), the products themselves (e.g., product catalog metadata), and contextual user information (e.g., demographics). While other data sources like social media trends or weather data might be useful in specific cases, they are not directly applicable or mentioned as relevant in this scenario.
- A. Correct.
User purchase history is a critical data source as it provides direct insights into user preferences and buying patterns, which are essential for building an effective recommendation system.
- B. Incorrect.
Real-time weather data is not directly relevant to product recommendations unless the products are seasonal or weather-dependent, which is not mentioned in the scenario.
- C. Correct.
Product catalog metadata is essential for understanding the available products and their attributes, which helps in suggesting relevant items to users.
- D. Correct.
User demographic data provides additional context about user preferences and can enhance personalization in the recommendation system.
- E. Incorrect.
Social media trends unrelated to the platform's products are not useful as they do not provide actionable insights for the recommendation system in this scenario.