Design a recommendation engine.

Question

Accepted Answer

Design a recommendation engine for personalized suggestions based on user preferences and behavior.

Collect user data such as browsing history, purchase history, ratings, and interactions.
Use collaborative filtering, content-based filtering, or hybrid approaches to generate recommendations.
Implement algorithms like matrix factorization, k-nearest neighbors, or neural networks for personalized suggestions.
Regularly update recommendations based on user feedback and behavior.
Provide a user-friendly interface to display recommendations and allow users to provide feedback.
Consider scalability and performance optimizations for handling large datasets and real-time recommendations.

Popular interview questions of Software Development Engineer II