MLS-C01 Question 9
Select 3A company is building a recommendation system for its e-commerce platform and wants to identify the most appropriate data sources to improve the relevance of its recommendations. Which data sources should the company prioritize for this use case?
- A
User transaction history from the e-commerce platform
- B
Real-time weather data from third-party APIs
- C
Product metadata, such as categories, descriptions, and pricing
- D
Geolocation data of users when they browse the platform
- E
Social media sentiment data about the company
Show answer and explanation
Correct answers: A, C, D
Explanation
To build an effective recommendation system, the company should focus on user-specific and product-specific data such as transaction history, product metadata, and geolocation data. These data sources provide actionable insights into user preferences and product relationships, which are essential for generating relevant recommendations.
- A. Correct.
User transaction history is a primary data source for recommendations, as it provides direct insights into the user's preferences and purchasing behavior.
- B. Incorrect.
Real-time weather data is less relevant for a general e-commerce recommendation system unless the platform specifically sells weather-sensitive products.
- C. Correct.
Product metadata is crucial for a recommendation system because it helps in understanding the relationships between products and their features.
- D. Correct.
Geolocation data can add valuable context to recommendations, such as suggesting region-specific products or tailoring availability based on location.
- E. Incorrect.
Social media sentiment data is not directly relevant for building a recommendation system, as it focuses on general sentiment rather than individual user preferences or behavior.