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 ( integer ) stars.
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
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.
The method has been further developed in cooperation with Netflix, using different subjective video datasets, including a Netflix-owned dataset ("NFLX"). Subsequently renamed "Video Multimethod Assessment Fusion", it was announced on the Netflix TechBlog in June 2016 [ 4 ] and version 0.3.1 of the reference implementation was made available ...
The Netflix Prize: The Netflix Prize competition is launched by Netflix. The aim of the competition was to use machine learning to beat Netflix's own recommendation software's accuracy in predicting a user's rating for a film given their ratings for previous films by at least 10%. [39] The prize was won in 2009. 2009 Achievement ImageNet
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Netflix is removing more than 200 films and TV shows in January, including its most underrated original title.. The streaming service, as well as adding a bunch of new releases, takes down a large ...
Title Season Genre Release date Hours watched (millions) 1 Squid Game: Season 1 Survival drama 17 September 2021: 1,650.9 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 ...