DocumentCode :
2955193
Title :
Computational intelligence meets the NetFlix prize
Author :
Meuth, Ryan J. ; Robinette, Paul ; Wunsch, Donald C., II
Author_Institution :
Appl. Comput. Intell. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO
fYear :
2008
fDate :
1-8 June 2008
Firstpage :
686
Lastpage :
691
Abstract :
The NetFlix Prize is a research contest that will award $1 Million to the first group to improve NetFlixpsilas 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.
Keywords :
artificial intelligence; fuzzy set theory; neural nets; pattern classification; NetFlix Prize; computational intelligence; fuzzy-adaptive resonance theory clustering; mapping; neural network; pattern classification; Awards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2008.4633869
Filename :
4633869
Link To Document :
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