Noam Koenigstein
Noam Koenigstein
Research Manager, Microsoft
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TitleCited byYear
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy
N Koenigstein, G Dror, Y Koren
Proceedings of the fifth ACM conference on Recommender systems, 165-172, 2011
2662011
The Yahoo! Music Dataset and KDD-Cup’11
G Dror, N Koenigstein, Y Koren, M Weimer
KDD-Cup Workshop 2011, 2011
2262011
Item2vec: neural item embedding for collaborative filtering
O Barkan, N Koenigstein
Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International …, 2016
952016
One-class collaborative filtering with random graphs
U Paquet, N Koenigstein
Proceedings of the 22nd international conference on World Wide Web, 999-1008, 2013
802013
Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces
Y Bachrach, Y Finkelstein, R Gilad-Bachrach, L Katzir, N Koenigstein, ...
Proceedings of the 8th ACM Conference on Recommender systems, 257-264, 2014
552014
Efficient retrieval of recommendations in a matrix factorization framework
N Koenigstein, P Ram, Y Shavitt
Proceedings of the 21st ACM international conference on Information and …, 2012
462012
Web-scale media recommendation systems
G Dror, N Koenigstein, Y Koren
Proceedings of the IEEE 100 (9), 2722-2736, 2012
352012
Towards scalable and accurate item-oriented recommendations
N Koenigstein, Y Koren
Proceedings of the 7th ACM conference on Recommender systems, 419-422, 2013
312013
Selecting content-based features for collaborative filtering recommenders
R Ronen, N Koenigstein, E Ziklik, N Nice
Proceedings of the 7th ACM conference on Recommender systems, 407-410, 2013
252013
Xbox movies recommendations: Variational Bayes matrix factorization with embedded feature selection
N Koenigstein, U Paquet
Proceedings of the 7th ACM Conference on Recommender Systems, 129-136, 2013
252013
Bayesian low-rank determinantal point processes
M Gartrell, U Paquet, N Koenigstein
Proceedings of the 10th ACM Conference on Recommender Systems, 349-356, 2016
242016
Song Ranking based on Piracy in Peer-to-Peer Networks.
N Koenigstein, Y Shavitt
ISMIR, 633-638, 2009
242009
Spotting out emerging artists using geo-aware analysis of p2p query strings
N Koenigstein, Y Shavitt, T Tankel
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
202008
Reef: Retainable evaluator execution framework
M Weimer, Y Chen, BG Chun, T Condie, C Curino, C Douglas, Y Lee, ...
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
192015
The Xbox recommender system
N Koenigstein, N Nice, U Paquet, N Schleyen
Proceedings of the sixth ACM conference on Recommender systems, 281-284, 2012
192012
Predicting billboard success using data-mining in p2p networks
N Koenigstein, Y Shavitt, N Zilberman
Multimedia, 2009. ISM'09. 11th IEEE International Symposium on, 465-470, 2009
192009
A large-scale exploration of group viewing patterns
AJB Chaney, M Gartrell, JM Hofman, J Guiver, N Koenigstein, P Kohli, ...
Proceedings of the ACM International Conference on Interactive Experiences …, 2014
182014
Low-rank factorization of determinantal point processes for recommendation
M Gartrell, U Paquet, N Koenigstein
arXiv preprint arXiv:1602.05436, 2016
142016
What's Hot? Estimating Country-specific Artist Popularity.
M Schedl, T Pohle, N Koenigstein, P Knees
ISMIR, 117-122, 2010
142010
Low-Rank Factorization of Determinantal Point Processes.
M Gartrell, U Paquet, N Koenigstein
AAAI, 1912-1918, 2017
132017
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