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Netflix Prize

en.wikipedia.org/wiki/Netflix_Prize

The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict ... In summary, the data used in the Netflix Prize looks as follows: Training ... A team could sen...

How does the Netflix movie recommendation algorithm work? - Quora

www.quora.com/How-does-the-Netflix-movie-recommendation-algorithm-work

Xavier Amatriain, Led Netflix Recommendations Algorithms, authored papers on ... How many algorithms are used in the Netflix recommendation system?

The Netflix Recommender System: Algorithms ... - ACM Digital Library

dl.acm.org/citation.cfm?id=2843948

Jan 14, 2016 ... The Netflix Recommender System: Algorithms, Business Value, and .... is the trigger of operation for many contemporary information systems.

How Netflix completely revamped recommendations for its new ...

www.theverge.com/2016/2/17/11030200/netflix-new-recommendation-system-global-regional

Feb 17, 2016 ... In particular, many algorithms assume that when something was not played ... The team spent a year creating a global recommendation system ...

Netflix Prize: Home

www.netflixprize.com/

The Netflix Prize sought to substantially improve the accuracy of predictions about how much someone is going to enjoy a movie based on their movie preferences. ... Read about their algorithm, checkout team scores on the Leaderboard, and ...

How Netflix Gets Its Movie Suggestions So Right - Huffington Post

www.huffingtonpost.com/2013/08/07/netflix-movie-suggestions_n_3720218.html

Aug 7, 2013 ... These recommendation algorithms are important because about 75 ... and the recommendation system has been changing and improving ever since. ... that Netflix is willing to try pretty much anything to keep you hooked.

Netflix Is 'Training' Its Recommendation System ... - Business Insider

www.businessinsider.com/netflix-using-ai-to-suggest-better-films-2014-2

Feb 11, 2014 ... Netflix Is 'Training' Its Recommendation System By Using Amazon's ... a new technology that should make its recommendation engine much better. ... In this case, Netflix used Amazon servers built with processors from Nvidia.

Recommender systems, Part 1: Introduction to approaches and ...

www.ibm.com/developerworks/library/os-recommender1/

Dec 12, 2013 ... You can find recommender systems in many of the websites you ... In 2006, Netflix held a competition to improve its recommendation system, Cinematch. ... The similarities define (based on the particular algorithm used) how ...

An Introduction to Recommendation Engines - Dataconomy

dataconomy.com/an-introduction-to-recommendation-engines/

Mar 13, 2015 ... Introduction What is a Recommendation Engine System Hybrid Netflix ... Factors that Netflix algorithm uses to make such recommendations include: ... Many algorithms have been used in measuring user similarity or item ...

Machine Learning & Recommender Systems @ Netflix Scale

www.slideshare.net/xamat/qcon-sf-2013-machine-learning-recommender-systems-netflix-scale

Nov 18, 2013 ... Machine Learning & Recommender Systems @ Netflix Scale November, 2013 ... Slideshare uses cookies to improve functionality and performance, and to ... System Overview ▫ Blueprint for multiple personalization algorithm ...

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The Science Behind the Netflix Algorithms That Decide What You'll ...

www.wired.com

Aug 7, 2013 ... We spoke with Netflix's recommendation dynamos—Carlos ... “many people tell us they watch foreign movies and documentaries, but in ...

The Netflix Tech Blog: Netflix Recommendations: Beyond the 5 stars ...

techblog.netflix.com

Apr 6, 2012 ... One of the reasons our focus in the recommendation algorithms has changed is ... To achieve this, in many parts of our system we are not only optimizing ... Similarity is used in multiple contexts, for example in response to a ...

Why Netflix Never Implemented The Algorithm That Won The Netflix ...

www.techdirt.com

Apr 13, 2012 ... ... but that Netflix's business had shifted and the way customers used its product, and ... One of the reasons our focus in the recommendation algorithms has .... with a very good chance of making a much more accurate system.