Data Science and Analytics
Recommender Systems
We develop custom recommender systems, which can predict rating or preference scustomer would give to a product. We have experience in developing recommender systems for entertainment, e-commerce, social media, insurance and restaurant industry. We specialize in 3 kinds of approaches to develop recommenders systems;
- Collaborative filtering
- Content-based filtering
- Hybrid Recommender Systems