Artificial Intelligence
What is Recommendation System
Personalized recommendation system based on ML
Recommendation System is a machine learning technology that analyzes user behavior and suggests personalized content, products, or services.
Types of Recommendation Systems
- Collaborative filtering — recommendations based on similar users
- Content-based filtering — recommendations based on item characteristics
- Hybrid systems — combination of approaches
- Knowledge-based systems — using expert rules
Algorithms
- Matrix Factorization (SVD, ALS)
- K-Nearest Neighbors (KNN)
- Deep Learning (Neural Collaborative Filtering)
- Graph Neural Networks
- Reinforcement Learning
Business Applications
- E-commerce — product recommendations
- Streaming — movies, music, podcasts
- Social networks — friends, content
- News — personalized feed
- Finance — investment products
Performance Metrics
- CTR (Click-Through Rate)
- Purchase conversion
- Average time on platform
- Diversity and Serendipity
- NDCG, MAP, Precision@K