In an e-commerce application, you're tasked with optimizing database queries to display product recommendations based on user preferences. How would you approach this problem using RDBMS concepts?
- Implement indexing on product attributes and user preferences; Use query optimization techniques
- Use NoSQL databases for faster retrieval; Implement caching mechanisms
- Use complex SQL queries with subqueries for recommendations
- Normalize database tables to reduce redundancy
Option 1 is correct. In an e-commerce application, optimizing queries for product recommendations involves indexing relevant attributes like product categories, user preferences, and purchase history. This speeds up retrieval by reducing search times. Query optimization techniques further enhance performance. NoSQL databases may offer scalability benefits but might not align with RDBMS concepts directly. Caching can improve performance but is secondary to optimizing queries. Complex SQL queries and normalization may not be optimal for recommendation systems due to performance overhead and complexity.
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