Justin Basilico
Justin Basilico
Verified email at netflix.com
TitleCited byYear
Unifying collaborative and content-based filtering
J Basilico, T Hofmann
Proceedings of the twenty-first international conference on Machine learning, 9, 2004
4372004
Netflix recommendations: beyond the 5 stars (part 1)
X Amatriain, J Basilico
Netflix Tech Blog 6, 2012
1232012
A joint framework for collaborative and content filtering
J Basilico, T Hofmann
SIGIR 4, 550-551, 2004
562004
Comet: A recipe for learning and using large ensembles on massive data
JD Basilico, MA Munson, TG Kolda, KR Dixon, WP Kegelmeyer
2011 IEEE 11th international conference on data mining, 41-50, 2011
412011
Comet: A recipe for learning and using large ensembles on massive data
JD Basilico, MA Munson, TG Kolda, KR Dixon, WP Kegelmeyer
2011 IEEE 11th international conference on data mining, 41-50, 2011
412011
Recommender systems in industry: A netflix case study
X Amatriain, J Basilico
Recommender systems handbook, 385-419, 2015
322015
Past, present, and future of recommender systems: An industry perspective
X Amatriain, J Basilico
Proceedings of the 10th ACM Conference on Recommender Systems, 211-214, 2016
242016
Deepqa jeopardy! gamification: A machine-learning perspective
AK Baughman, W Chuang, KR Dixon, Z Benz, J Basilico
IEEE Transactions on Computational Intelligence and AI in Games 6 (1), 55-66, 2013
152013
Improved team performance using EEG-and context-based cognitive-state classifications for a vehicle crew
KR Dixon, K Hagemann, J Basilico, C Forsythe, S Rothe, M Schrauf, ...
International Conference on Foundations of Augmented Cognition, 365-372, 2009
142009
Netflix recommendations: Beyond the 5 stars (part 1)–the netflix tech blog
X Amatriain, J Basilico
URL http://techblog. netflix. com/2012/04/netflix-recommendations-beyond-5 …, 2012
122012
The Cognitive Foundry: A Flexible Platform for Intelligent Agent Modeling.
JD Basilico, ZO Benz, KR Dixon
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2008
112008
Using navigation to improve recommendations in real-time
CY Wu, CV Alvino, AJ Smola, J Basilico
Proceedings of the 10th ACM Conference on Recommender Systems, 341-348, 2016
102016
Recommending for the world
Y Raimond, J Basilico
Netflix tech blog 17, 2016
102016
System architectures for personalization and recommendation
X Amatriain, J Basilico
the Netflix Techblog: http://techblog. netflix. com/2013/03 …, 2013
102013
Performance assessment to enhance training effectiveness
SM Stevens-Adams, JD Basilico, RG Abbott, CJ Gieseler, C Forsythe
Proceedings of the Interservice/Industry Training, Simulation, and Education …, 2010
92010
Artwork personalization at Netflix
A Chandrashekar, F Amat, J Basilico, T Jebara
Medium. com, 2017
82017
Using after-action review based on automated performance assessment to enhance training effectiveness
SM Stevens-Adams, JD Basilico, RG Abbott, CJ Gieseler, C Forsythe
Proceedings of the Human Factors and Ergonomics Society Annual Meeting 54 …, 2010
82010
Déja vu: The importance of time and causality in recommender systems
J Basilico, Y Raimond
Proceedings of the Eleventh ACM Conference on Recommender Systems, 342-342, 2017
72017
Collaborative machine learning
T Hofmann, J Basilico
From Integrated Publication and Information Systems to Information and …, 2005
72005
Learning a Personalized Homepage
C Alvino, J Basilico
Retrieved December 6, 2015, 2015
62015
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Articles 1–20