Machine Learning Models

i. Collaborative Filtering: Identify similarities between users based on shared preferences.

ii. Content-Based Filtering: Match users with items similar to their past interactions.

iii.Hybrid Approach: Combine collaborative and content-based filtering for enhanced accuracy.

iv. Predictive Analytics: Forecast future interests using historical data and external signals (e.g., trending topics).

v. Reinforcement Learning: Continuously optimize recommendations based on user feedback and engagement metrics.