Reinforcement Learning for E-commerce Recommendations Under Time Constraints

This research explores a practical application of reinforcement learning in the dynamic environment of e-commerce recommendations. The focus on time constraints is particularly relevant, reflecting real-world user behavior and platform demands.

• •Applies reinforcement learning to a specific, real-world e-commerce problem.
• •Addresses the challenge of time-sensitive recommendations.
• •Potentially improves user experience and sales metrics.