| 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 | 331 | 2011 |
| Item2vec: neural item embedding for collaborative filtering O Barkan, N Koenigstein 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 305 | 2016 |
| The Yahoo! Music Dataset and KDD-Cup’11 G Dror, N Koenigstein, Y Koren, M Weimer KDD-Cup Workshop 2011, 2011 | 285 | 2011 |
| 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 | 107 | 2014 |
| One-class collaborative filtering with random graphs U Paquet, N Koenigstein Proceedings of the 22nd international conference on World Wide Web, 999-1008, 2013 | 99 | 2013 |
| 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 | 69 | 2012 |
| Low-rank factorization of determinantal point processes M Gartrell, U Paquet, N Koenigstein Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 61 | 2017 |
| Towards scalable and accurate item-oriented recommendations N Koenigstein, Y Koren Proceedings of the 7th ACM conference on Recommender systems, 419-422, 2013 | 49 | 2013 |
| Bayesian low-rank determinantal point processes M Gartrell, U Paquet, N Koenigstein Proceedings of the 10th ACM Conference on Recommender Systems, 349-356, 2016 | 48 | 2016 |
| 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 | 41 | 2013 |
| Web-scale media recommendation systems G Dror, N Koenigstein, Y Koren Proceedings of the IEEE 100 (9), 2722-2736, 2012 | 41 | 2012 |
| 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 | 37 | 2013 |
| Efficient modeling system for user recommendation using matrix factorization N Nice, N Koenigstein, U Paquet, S Keren, D Sitton, D Kremer, S Roitman US Patent 8,983,888, 2015 | 35 | 2015 |
| Song Ranking based on Piracy in Peer-to-Peer Networks. N Koenigstein, Y Shavitt ISMIR, 633-638, 2009 | 29 | 2009 |
| Beyond collaborative filtering: The list recommendation problem O Sar Shalom, N Koenigstein, U Paquet, HP Vanchinathan Proceedings of the 25th international conference on world wide web, 63-72, 2016 | 28 | 2016 |
| 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 | 24 | 2014 |
| The Xbox recommender system N Koenigstein, N Nice, U Paquet, N Schleyen Proceedings of the sixth ACM conference on Recommender systems, 281-284, 2012 | 23 | 2012 |
| What's Hot? Estimating Country-specific Artist Popularity. M Schedl, T Pohle, N Koenigstein, P Knees ISMIR, 117-122, 2010 | 21 | 2010 |
| Predicting billboard success using data-mining in p2p networks N Koenigstein, Y Shavitt, N Zilberman 2009 11th IEEE International Symposium on Multimedia, 465-470, 2009 | 21 | 2009 |
| 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 | 21 | 2008 |
Oren BarkanPrincipal Researcher, MicrosoftVerified email at microsoft.com
