<strong>Recommender Systems</strong>

Recommender Systems are used by many organizations to recommend/suggest useful content to their customers based on their features and preferences. e.g.

• Movie recommendations by Netflix, Amazon Prime and Hotstar
• Ads while watching videos on YouTube
• Product recommendations on Retail websites like Amazon, Flipkart, etc.
• Friend Suggestions of LinkedIn

• This can help companies in increasing their business by:
  1. Doing Cross-Sell and Up-Sell
  2. Retaining Customers for longer duration on their platform as compared to the competitor

• Major Algorithms for building Recommender Systems are:
  1. Content Based
  2. Collaborative Filtering
     • Memory Based
       • User Based
       • Item Based
     • Model Based
       • Dimensionality Reduction
       • Matrix factorization
       • Autoencoders