"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

December 17, 2016

Day #50 - Recommendation Systems

Recommendation Systems
  • Content Based
  • Collaborative (User-User / Item-Item)
Content Based Key Features - Able to recommend based on user taste and historical behavior. No need of other user data
  • No Need of Data from Other users
  • Recommend New and Unpopular items
  • Finding Appropriate feature is hard
  • Unable to Exploit Quality judgment from other users
Collaborative Key Features - Recommendation based on similar users / similar items. 
  • For item-i, find other similar items
  • Better than user-user
  • Need enough users data
  • Works on any kind of item no feature selection is needed
  • Find users who have bought / rated similar items
  • Hard to find users rated same items
More Advanced Methods - Latent Factor Models

Happy Learning!!!

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