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


R, SAS, Python, Perl, iOS