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Netflix Prize information


The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users being identified except by numbers assigned for the contest.

The competition was held by Netflix, a video streaming service, and was open to anyone who is neither connected with Netflix (current and former employees, agents, close relatives of Netflix employees, etc.) nor a resident of certain blocked countries (such as Cuba or North Korea).[1] On September 21, 2009, the grand prize of US$1,000,000 was given to the BellKor's Pragmatic Chaos team which bested Netflix's own algorithm for predicting ratings by 10.06%.[2]

  1. ^ "The Netflix Prize Rules" (PDF). Archived from the original (PDF) on 2020-05-10. Retrieved 2019-11-06.
  2. ^ "The Netflix Prize". Archived from the original on 2009-09-24. Retrieved 2012-07-09.

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the quality of the obtained bundle of structures. Submissions for the Netflix Prize were judged using the RMSD from the test dataset's undisclosed "true"...

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items. New algorithms have been developed for CF as a result of the Netflix prize. Cross-System Collaborative Filtering where user profiles across multiple...

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