Search results
Results From The WOW.Com Content Network
Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies. Each training rating is a quadruplet of the form <user, movie, date of grade, grade>. The user and movie fields are integer IDs, while grades are from 1 to 5 stars.
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.
1 Squid Game: Season 1 Survival drama 17 September 2021: 1,650.45 2 Stranger Things: Season 4: Science fiction/Horror 27 May 2022: 1,352.09 3 Wednesday: Season 1 Supernatural horror 23 November 2022: 1,237.15 4 Dahmer – Monster: The Jeffrey Dahmer Story: Limited Series Horror drama 21 September 2022: 856.22 5 Money Heist: Part 5 Heist/Crime ...
In 2019, Netflix was already a fixture in our lives. It had 167 million subscribers globally and regularly produced hit Originals like Stranger Things and Orange is the New Black. And it’s not ...
Netflix said the data revealed the staying power of sequels, such as the second season of Ginny & Georgia, You season 4 (440,600,000 hours) and Outer Banks season 3 (402,500,000).
Release. October 20, 2023. ( 2023-10-20) Surviving Paradise is a reality competition television series co-produced by All3Media ’s Studio Lambert and Raw TV. [1] The show features 12 players who believe they're about to live it up for a summer at a beautiful villa. Instead, the players are almost immediately banished to the wilderness below ...
Top findings from Netflix's data dump. ... In fact, nine of the top 10 shows are all Netflix originals, led by Season 1 of "The Night Agent" and the second installment of "Ginny and Georgia ...
One of the events that energized research in recommender systems was the Netflix Prize. From 2006 to 2009, Netflix sponsored a competition, offering a grand prize of $1,000,000 to the team that could take an offered dataset of over 100 million movie ratings and return recommendations that were 10% more accurate than those offered by the company ...