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Netflix Prize


The Netflix Prize was an open competition for the best collaborative filtering ... A participating team's algorithm must predict grades on the entire qualifying set, but ... of root mean squared...

How Netflix Reverse Engineered Hollywood - The Atlantic


Jan 2, 2014 ... If you use Netflix, you've probably wondered about the specific genres that it ... each and every microgenre that Netflix's algorithm has ever created. ... system, it was Yellin himself who imagined a much more ambitious ..... The human language of the genres helps people identify with the recommendations.

How Netflix Gets Its Movie Suggestions So Right - Huffington Post


Aug 7, 2013 ... These recommendation algorithms are important because about 75 ... "Testing has shown that the predicted ratings aren't actually super-useful, while what you' re ... and the recommendation system has been changing and improving ... that Netflix is willing to try pretty much anything to keep you hooked.

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


Dec 12, 2013 ... It also uses (offline) item-based collaborative filtering with Hadoop to .... winning approach for the Netflix prize, many algorithmic approaches ...

Recommendation Systems - The Stanford University InfoLab


Recommendation systems use a number of different technologies. ... instance, if a Netflix user has watched many cowboy movies, then recom- .... less than the RMSE of the Netflix algorithm on a test set taken from actual ratings of Netflix users.

An Introduction to Recommendation Engines | Dataconomy


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 ... - SlideShare


Nov 18, 2013 ... Machine Learning & Recommender Systems @ Netflix Scale November, 2013 ... Clusters: System Overview ▫ Blueprint for multiple personalization algorithm .... Data ▫ Dense information ▫ Processed for further use ▫ Saved; 31.

Large-Scale Recommender Systems and the Netflix Prize Competition


exchange the ideas and present and discuss novel recommendation methods that specifically ... datasets for recommender systems and the Netflix competition in particular. The call .... Many algorithms for CF problems have been developed,.

Matrix Factorization Techniques for Recommender Systems


the Music Genome Project, which is used for the Internet radio service ... Netflix have made recommender systems a salient part of their websites. As the ... For users, each factor measures how much the user likes .... LEARNING ALGORITHMS.

TV seems to know what you want to see; algorithms at work - LA Times


Nov 21, 2014 ... The algorithms that spit out online recommendations for television series, movies ... Top providers such as Netflix, Hulu and Amazon — which tens of millions of ... " You can use algorithms and user interfaces to get the right content to the right ... Most recommendation systems are based on what's known as ...

Helpful Resources

How does the Netflix movie recommendation algorithm work? - Quora


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

Which algorithms are used in recommender systems? - Quora


Here is my personal breakdown of algorithms for recommendation. ... algorithms that can be used to build a highly scalable recommender system. ... Netflix Prize winning solution. Use ... Cascade multiple algorithms to cover different users.

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


Aug 7, 2013 ... We spoke with Netflix's recommendation dynamos—Carlos Gomez-Uribe, VP ... “ many people tell us they watch foreign movies and documentaries, but in ... We can use the behavior of similar users to infer your preferences.

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


Apr 6, 2012 ... To put these algorithms to use, we had to work to overcome some .... one of the many components of an effective recommendation system that ...

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


Apr 13, 2012 ... To put these algorithms to use, we had to work to overcome some ... Suddenly, the prize winning solution just wasn't that useful -- in part because many .... This in turn lowers the value of their recommendation system, which ...