Noam Koenigstein - Concepedia

Author

Noam Koenigstein

Tel Aviv University ORCID

Also Known As

Koenigstein, Noam, N. Koenigstein, Noam Koenigstein

118

Publications

2.4K

Citations

H-Index

Concepts

All Affiliations

Tel Aviv University Microsoft (Israel)Microsoft Research (United Kingdom)Bar-Ilan University Microsoft (United States)

About

Noam Koenigstein is an author at Tel Aviv University specializing in engineering, information retrieval, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	20	27	1.4K
2	Arts	5	5	443
3	Language Studies	3	3	125
4	Business	1	1	89
5	Health Sciences	1	1	13

Noam Koenigstein

Publications

1.9K

Citations

H-Index

Page 1

	Year	Citations
Yahoo! music recommendations Noam Koenigstein, Gideon Dror, Yehuda Koren MusicComputational MusicologyEngineeringLearning To RankMusic Recommendations	2011	279
The Yahoo! Music Dataset and KDD-Cup'11 Gideon Dror, Noam Koenigstein, Yehuda Koren,	2011	239
Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Xbox Recommender SystemEngineeringMachine LearningItem VectorInner-product Spaces	2014	159
Autoencoders Dor Bank, Noam Koenigstein, Raja Giryes arXiv (Cornell University) Artificial IntelligenceDeep Neural NetworksDifferent TypesMachine LearningNeural Networks (Machine Learning)	2020	122
One-class collaborative filtering with random graphs Ulrich Paquet, Noam Koenigstein Artificial IntelligenceEngineeringMachine LearningNetwork AnalysisOne-class Collaborative Filtering	2013	89
CB2CF Oren Barkan, Noam Koenigstein, Eylon Yogev, Group RecommendersEngineeringInformation RetrievalData ScienceMachine Learning	2019	85
Efficient retrieval of recommendations in a matrix factorization framework Noam Koenigstein, Parikshit Ram, Yuval Shavitt Group RecommendersEngineeringInformation RetrievalData ScienceData Mining	2012	80
ITEM2VEC: Neural item embedding for collaborative filtering Oren Barkan, Noam Koenigstein Natural Language ProcessingMany Collaborative FilteringNeural Word EmbeddingGroup RecommendersEngineering	2016	73
Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks Oren Barkan, Jonathan Benchimol, Itamar Caspi, International Journal of Forecasting	2022	70
Bayesian Low-Rank Determinantal Point Processes Mike Gartrell, Ulrich Paquet, Noam Koenigstein Ranking AlgorithmEngineeringMachine LearningLearning To RankLow-rank Dpp Model	2016	52

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