[book]
J. B. Schafer
/ 2007
/ The adaptive web
/ Springer
: 291~324
[book]
G. Adomavicius
/ 2011
/ Recommender systems handbook
/ Springer
: 217~253
[journal]
Y. Koren
/ 2009
/ Matrix factorization techniques for recommender systems
/ Computer
30
(8)
: 30~37
[journal]
Y. LeCun
/ 2015
/ Deep learning
/ nature
521
(7553)
: 436~
[confproc]
R. Salakhutdinov
/ 2007
/ Restricted Boltzmann machines for collaborative filtering
/ Proceedings of the 24th international conference on Machine learning
/ ACM
: 791~798
[confproc]
J. Bennett
/ 2007
/ The netflix prize
/ Proceedings of KDD cup and workshop
: 35~
[journal]
C. A. Gomez-Uribe
/ 2016
/ The netflix recommender system : Algorithms, business value, and innovation
/ ACM Transactions on Management Information Systems(TMIS)
6
(4)
: 13~
[confproc]
P. Covington
/ 2016
/ Deep neural networks for youtube recommendations
/ Proceedings of the 10th ACM Conference on Recommender Systems
/ ACM
: 191~198
[journal]
N. Jones
/ 2014
/ Computer science: The learning machines
/ Nature News
505
(7482)
: 146~
[web]
/ MovieLens
/ http://grouplens.org/datasets/movielens/
[web]
/ BigTensor
/ https://datalab.snu.ac.kr/bigtensor/
[web]
/ Yelp
/ http://www.yelp.com/dataset_challenge/