Large scale problem solving with neural networks: The netflix prize case

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6354 LNCS, Issue PART 3, 2010, Pages 429-434

  Ampazis, Nicholas ^a  

^a UNIVERSITY OF THE AEGEAN   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DATA ANALYSIS TECHNIQUES; DATA SETS; HIGH-DIMENSIONAL; LARGE-SCALE PROBLEM; NEURAL NETWORK MODEL; TRAINING PATTERNS;

DATA REDUCTION;

NEURAL NETWORKS;

EID: 78049399934     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15825-4_57     Document Type: Conference Paper

References (8)

1. Bennett, J., Lanning, S.: The netflix prize. In: Proc. KDD-Cup and Workshop at the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2007)
2. The netflix prize leaderboard, http://www.netflixprize.com/leaderboard
3. Netflix official winner announcement: grand prize awarded to team bellkors pragmatic chaos, http://www.netflixprize.com/community/viewtopic.php? id=1537
4. Koren, Y.: The BellKor Solution to the Netflix Grand Prize (August 2009), http://www.netflixprize.com/assets/GrandPrize2009-BPC-BellKor.pdf
5. Toscher, A., Jahrer, M., Bell, R.: The Big Chaos Solution to the Netflix Grand Prize (August 2009), http://www.netflixprize.com/assets/GrandPrize2009- BPC-BigChaos.pdf
6. Piotte, M., Chabbert, M.: The Pragmatic Theory Solution to the Netflix Grand Prize (August 2009), http://www.netflixprize.com/assets/GrandPrize2009- BPC-PragmaticTheory.pdf
7. Salakhutdinov, R., Mnih, A., Hinton, G.: Restricted Boltzmann machines for collaborative filtering. In: Proceedings of the International Conference on Machine Learning, vol. 24, pp. 791-798 (2007)
8. Hinton, G. E.: Training products of experts by minimizing contrastive divergence. Neural. Comput. 14(8), 1771-1800 (2002)