1 / 4

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.

kesslerc
Download Presentation

Towards Implementing Better Movie Recommendation Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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.

More Related