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Towards Implementing Better Movie Recommendation Systems

Towards Implementing Better Movie Recommendation Systems. Volume of items available for sale increasing rapidly due to low barriers to selling and distributing items online. Better Recommendation System  Targeted Advertising  Higher Sales. The Challenge: Every Customer is Different.

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Towards Implementing Better Movie Recommendation Systems

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  1. Towards Implementing Better Movie Recommendation Systems • Volume of items available for sale increasing rapidly due to low barriers to selling and distributing items online Better Recommendation System  Targeted Advertising  Higher Sales The Challenge: Every Customer is Different. How do you ‘personalize’ recommendations Rahul Thathoo, Zahid Khan

  2. Comparison of Collaborative Filtering algorithms on 90:10 MovieLens dataset

  3. Curse of Extreme Raters • Some people only rate 1s/5s. • We found ~600 users (10%) whose average rating > 4.25 • Need to adjust their ratings when evaluating predictions for them

  4. Drama / Romance 45/M Children’s Who would you turn to for movie recommendations – your dad or your friend?? Credibility of the user is determined by the set of movies where the others agreed with him to the set of movies where others disagreed.

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