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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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AlgorithmCollaborative filteringCompetitions and prizes in artificial intelligenceDe-anonymization

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Papers overview

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2016
2016
Expectile Matrix Factorization for Skewed Data Analysis
Matrix factorization is a popular approach to solving matrix estimation problems based on partial observations. Existing… 
2014
2014
Improving Recommender System Based on Item’s Structural Information in Affinity Network
This paper proposes a technique to improve the accuracy of recommender system result which employ collaborative filtering… 
2012
2012
Collaborative Filtering Ensemble
This paper provides the solution of the team "commendo" on the Track1 dataset of the KDD Cup 2011 Dror et al.. Yahoo Labs… 
2010
2010
Role mining and policy misconfigurations
There has been increasing interest in automatic techniques for generating roles for role-based access control, a process known as… 
2010
2010
Large Scale Problem Solving with Neural Networks: The Netflix Prize Case
The significant advances in artificial neural network research during the last two decades has rendered neural network models… 
Highly Cited
2009
Highly Cited
2009
The Fog over the Grimpen Mire: Cloud Computing and the Law
© The Fog over the Grimpen Mire: Cloud Computing and the Law 
2008
2008
Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition
In October 2006, Netflix released a large dataset and launched the Netflix Prize Competition that attracted over 20,000… 
2008
2008
Estimating Aggregates over Multiple Sets
Many datasets, including market basket data, text or hypertext documents, and measurement data collected in different nodes or… 
Review
2007
Review
2007
The Netflix Prize James Bennett Stan Lanning
In October, 2006 Netflix released a dataset containing 100 million anonymous movie ratings and challenged the data mining… 
2006
2006
Use of KNN for the Netflix Prize
This paper analyzes the performance of various KNNs techniques as applied to the netflix collaborative filtering problem. 
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