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en.wikipedia.org/wiki/Recommender_system

A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the ...

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 send as many attempts to predict grades as they wish.

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

We have talked and published extensively about this topic. Let me start by saying that there are ... There are many other recommendation algorithms from personalized ranking to page ... Neal Lathia, My PhD topic was recommender systems. ... At a basic level, Netflix primarily uses your ratings, viewing history, and taste ...

www.businessinsider.com/how-the-netflix-recommendation-algorithm-works-2016-2

Feb 26, 2016 ... Netflix lifted the lid on how the algorithm that recommends you titles to watch ... it needed to solve the "rabbit hole problem" — having so much ...

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

Jan 14, 2016 ... The Netflix Recommender System: Algorithms, Business Value, and Innovation ... the approach that we use to improve the recommendation algorithms, .... is the trigger of operation for many contemporary information systems.

www.wired.com/2013/08/qq_netflix-algorithm

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.

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 it is a ... To work well, the software needed a massive data set to crunch. ... The team spent a year creating a global recommendation system that ...

www.martechadvisor.com/articles/customer-experience/recommendation-engines-how-amazon-and-netflix-are-winning-the-personalization-battle

Jun 28, 2016 ... The retail giant's recommendation algorithms are based on seemingly few elements: a ... However, for a retailer with as many items as Amazon, the challenge becomes which recommendations to present and in which order – a ... that Amazon developed to power its own product recommendation system.

techblog.netflix.com/2016/02/recommending-for-world.html

Feb 17, 2016 ... In particular, many algorithms assume that when something was not ... a recommendation model should be able to identify and use that pattern of taste. ... used to evaluate information retrieval systems, which do not take the ...

techblog.netflix.com/2012/04/netflix-recommendations-beyond-5-stars.html

Apr 5, 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 ...