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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. [3]
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 ...
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.
Five skiers were taken to the hospital after a lift chair collision at the Heavenly Ski Resort on the Nevada side of Lake Tahoe. The incident occurred on Monday, Dec. 23 around 10 a.m. local time ...
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.
If you have any questions or concerns about this recall, you may contact Frito-Lay Consumer Relations at 1-800-352-4477 on Monday through Friday between 9 a.m. and 4:30 p.m. CT.
A widely used artificial food dye could soon be outlawed. The U.S. Food and Drug Administration (FDA) is moving to ban an artificial food coloring called Red No. 3, also known as Erythrosine. The ...
The Netflix Prize is particularly notable for the detailed personal information released in its dataset. Ramakrishnan et al. have conducted an extensive overview of the trade-offs between personalization and privacy and found that the combination of weak ties (an unexpected connection that provides serendipitous recommendations) and other data ...