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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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Related topics
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Algorithm
Collaborative filtering
Competitions and prizes in artificial intelligence
De-anonymization
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Re-Evaluating the Netflix Prize - Human Uncertainty and its Impact on Reliability
Kevin Jasberg
,
S. Sizov
arXiv.org
2017
Corpus ID: 27455500
In this paper, we examine the statistical soundness of comparative assessments within the field of recommender systems in terms…
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2016
2016
Collaborative Filtering Based Recommendation System Augmented with SVM Classifier
Kavita Jakhar
,
V. Sharma
,
Sachin Sharma
2016
Corpus ID: 212488524
A recommendation system is a system that recommends a user or users, the items, possibly, of their interest. There are wide…
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2016
2016
The Role of Humans in Complex ICT Systems
V. Kazymyrova
2016
Corpus ID: 73693886
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2012
2012
IMPROVING ACCUMULATED RECOMMENDATION SYSTEM A COMPARATIVE STUDY OF DIVERSITY USING PAGERANK ALGORITHM TECHNIQUE Dasari
S. Krishna
,
K. Devi
2012
Corpus ID: 13886851
Recommender systems can use data mining techniques for making recommendations using knowledge learnt from the action and…
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2012
2012
Filtros de precedência : agregação anónima de dados de trânsito bluetooth
Nélson Gonçalves
,
Carlos Baquero
,
M. Borges
,
Rui José
2012
Corpus ID: 61742834
Este trabalho e financiado por Fundos FEDER atrav es do Programa Operacional Fatores de Competitividade - COMPETE e por Fundos…
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2010
2010
Role mining and policy misconfigurations
I. Molloy
,
Ninghui Li
,
Jorge Lobo
,
Yuan Qi
,
Luke Dickens
2010
Corpus ID: 63526409
There has been increasing interest in automatic techniques for generating roles for role-based access control, a process known as…
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2010
2010
Using Transitivity with Nearest Neighbor to Reduce Error in Sample-Based Pearson Correlation Coefficients
Taylor Phillips
2010
Corpus ID: 4693076
Pearson product-moment correlation coefficients are a well-practiced quantification of linear dependence seen across many fields…
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Review
2010
Review
2010
Chapter 2 Data Mining Methods for Recommender Systems
X. Amatriain
,
Alejandro Jaimes
,
Nuria Oliver
,
J. M. Pujol
2010
Corpus ID: 3745788
In this chapter, we give an overview of the main Data Mining techniques used in the context of Recommender Systems. We first…
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2008
2008
On the Scalability of Graph Kernels Applied to Collaborative Recommenders
Jérôme Kunegis
,
A. Lommatzsch
,
S. Albayrak
,
C. Bauckhage
2008
Corpus ID: 2325907
. We study the scalability of several recent graph kernel-based collaborative recommendation algorithms. We compare the…
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Review
2007
Review
2007
The Netflix Prize James Bennett Stan Lanning
J. Bennett
,
S. Lanning
2007
Corpus ID: 1978078
In October, 2006 Netflix released a dataset containing 100 million anonymous movie ratings and challenged the data mining…
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