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Netflix Prize

Known as: Commendo 
The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Singular Value Decompositions (SVD) have become very popular in the field of Collaborative Filtering. The winning entry for the… 
Highly Cited
2012
Highly Cited
2012
The popularity of location-based social networks available on mobile devices means that large, rich datasets that contain a… 
Review
2010
Review
2010
This article reports on the reinforcement learning competitions, which have been held annually since 2006. In these events… 
Highly Cited
2009
Highly Cited
2009
© The Fog over the Grimpen Mire: Cloud Computing and the Law 
2009
2009
Many data sources are naturally modeled by multiple weight assignments over a set of keys: snapshots of an evolving database at… 
2009
2009
We analyze a large data set from Netflix, the leading online movie rental company, to shed new light on the causes and… 
Highly Cited
2008
Highly Cited
2008
Our RMSE=0.8643 solution is a linear blend of over 100 results. Some of them are new to this year, whereas many others belong to… 
2008
2008
The team “BellKor in BigChaos” is a combined team of team BellKor and BigChaos. The solution with a RMSE of 0.8616 is created by… 
2006
2006
This paper analyzes the performance of various KNNs techniques as applied to the netflix collaborative filtering problem.