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The Netflix Prize was an open competition for the best collaborative filtering ... Netflix provided a training data set of 100,480,507 ratings that 480,189 users ...
The grand prize of $1,000,000 was reserved for the entry which bettered Netflix's own algorithm for predicting ratings by 10%. Netflix provided a training data set of over 100 million ratings that more than 480,000 users gave to nearly 18,000 movies, which is one of the largest real-life data sets available for research.
In 2014, Netflix earned its first two nominations. The following year the network won three awards, Outstanding Performance by an Ensemble in a Comedy Series for Orange Is the New Black , Outstanding Performance by a Male Actor in a Drama Series for Kevin Spacey from House of Cards and Outstanding Performance by a Female Actor in a Comedy ...
On July 18, 2013, Netflix became the first streaming platform to produce a TV program specifically for streaming and to earn major nominations and eventually win a Primetime Emmy Award. Also House of Cards became the first online-only web television program to be nominated and its pilot episode, " Chapter 1 ", was the first webisode of a ...
The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings. The prize would be awarded to the team achieving over 10% improvement over Netflix's own Cinematch algorithm. The team "Gravity" was the front runner during January—May 2007. [2]
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The past 24 hours have been awash in headlines about Netflix’s What We Watched report: an information dump that many analysts considered the most transparent accounting of user data that the ...
A number of privacy issues arose around the dataset offered by Netflix for the Netflix Prize competition. Although the data sets were anonymized in order to preserve customer privacy, in 2007 two researchers from the University of Texas were able to identify individual users by matching the data sets with film ratings on the Internet Movie ...