The NetFlix Prize is a research contest that will award $1 Million to the first group to improve NetFlix's movie recommendation system by 10%. Contestants are given a dataset containing the movie rating histories of customers for movies. From this data, a processing scheme must be developed that can predict how a customer will rate a given movie on a scale of 1 to 5. An architecture is presented that utilizes the Fuzzy-Adaptive Resonance Theory clustering method to create an interesting set of data attributes that are input to a neural network for mapping to a classification.
R. J. Meuth et al., "Computational Intelligence Meets the NetFlix Prize," Proceedings of the International Joint Conference on Neural Networks, 2008, Institute of Electrical and Electronics Engineers (IEEE), Jun 2008.
The definitive version is available at http://dx.doi.org/10.1109/IJCNN.2008.4633869
International Joint Conference on Neural Networks, 2008
Electrical and Computer Engineering
Article - Conference proceedings
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