Publications
Attentive Item2Vec: Neural Attentive User Representations (pdf)
Oren Barkan, Caciularu, Ori Katz, Noam Koenigstein
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP'20)
Neural Attentive Multiview Machines (pdf)
Oren Barkan, Ori Katz, Noam Koenigstein
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP'20)
When Actions Speak Louder than Clicks: A Combined Model of Purchase Probability and Long-term Customer Satisfaction (pdf)
Gal Lavee, Noam Koenigstein, Oren Barkan
ACM Conference on
Recommender Systems (RecSys'19), September 2019
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations (pdf)
Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz
ACM Conference on
Recommender Systems (RecSys'19), September 2019
Pick & Merge: An Efficient Item Filtering Scheme for Windows Store Recommendations (pdf)
Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron Allerhand, Nir Nice, Noam Koenigstein
ACM Conference on
Recommender Systems (RecSys'19), September 2019
Rethinking Collaborative Filtering: A
Practical Perspective on State-Of-The-Art Research Based on Real-World
Insights and Challenges (Invited Talk)
Noam Koenigstein
ACM Conference on
Recommender Systems (RecSys'17), August 2017
Groove Radio: A Bayesian Hierarchical Model
for Personalized Playlist Generation (pdf)
Shay Ben Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik
Berezin, Ulrich Paquet and Tal Zaccai
ACM Conference on Web Search
and Data Mining (WSDM'17), Cambridge UK, February 2017.
Low-Rank Factorization of Determinantal
Point Processes for Recommendation (pdf)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
The Fourteenth AAAI Conference on Artificial Intelligence, 2017.
Bayesian Low-Rank Determinantal Point
Processes
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
ACM Conference on
Recommender Systems (RecSys'16), September 2016, Boston, MA, USA..
Item2Vec: Neural Item Embedding for
Collaborative Filtering (pdf)
Oren Barkan, Noam Koenigstein
arXiv:1603.04259, 2016.
Wikipedia links
here and
here.
Beyond Collaborative Filtering: The
List Recommendation Problem (pdf)
Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P.
Vanchinathan
International World Wide Web Conference (WWW'16),
April 2016, Montreal, Canada.
Speeding Up the Xbox Recommender System Using
a Euclidian Transformation for Inner Product Spaces (pdf)
Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran
Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
ACM Conference on
Recommender Systems (RecSys'14), October 2014, San Fransisco, CA, USA.
A Hybrid Explanations Framework for
Collaborative Filtering Recommender Systems (poster) (pdf)
Shay Ben Elazar, Noam Koenigstein
ACM Conference on
Recommender Systems (RecSys'14), October 2014, San Fransisco, CA, USA.
A Scalable Bayesian Alternative to Density
Estimation with a Bilinear Softmax Function (pdf)
Ulrich Paquet, Noam Koenigstein, Ole Winther
Annual
Conference on Neural Information Processing Systems (NIPS'14) Workshop on
Personalization Methods and Applications, December 2014, Montreal,
Canada.
A Large-scale Exploration of Group Viewing
Patterns (pdf)
Best paper runner up
Allison J.B.
Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein,
Pushmeet Kohli, Ulrich Paquet
TVX - ACM International Conference on
Interactive Experiences for Television and Online Video, June 2014,
Newcastle , UK.
Xbox Movies Recommendations: Variational
Bayes Matrix Factorization with Embedded Feature Selection (pdf)
Noam Koenigstein, Ulrich Paquet
ACM Conference on
Recommender Systems (RecSys'13), October 2013, Hong Kong, China.
Towards Scalable and Accurate Item-Oriented
Recommendations (short paper) (pdf)
Noam Koenigstein, Yehuda Koren
ACM Conference on Recommender
Systems (RecSys'13), October 2013, Hong Kong, China.
Sage: Recommender Engine as a Cloud Service
(demo paper) (pdf)
Royi Ronen,
Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari, Neta Haiby-Weiss
ACM Conference on Recommender Systems (RecSys'13), October 2013,
Hong Kong, China.
Selecting Content-Based Features for
Collaborative Filtering Recommenders (short paper) (pdf)
Royi Ronen, Noam Koenigstein, Elad Ziklik, Nir Nice
ACM
Conference on Recommender Systems (RecSys'13), October 2013, Hong Kong,
China.
One-class Collaborative Filtering with Random Graphs (pdf)
Noam Koenigstein, Ulrich Paquet
International World Wide Web
Conference (WWW'13), May 2013, Rio de Janeiro, Brazil.
The Xbox Recommendation System (short paper)
(pdf)
Noam Koenigstein, Nir
Nice, Ulrich Paquet, Nir Schleyen
ACM Conference on Recommender
Systems (RecSys'12), September 2012, Dublin, Ireland.
Efficient Retrieval of Recommendations in a Matrix Factorization
Framework (pdf)
Noam
Koenigstein, Parikshit Ram, Yuval Shavitt
ACM International
Conference on Information and Knowledge Management (CIKM'12), November
2012, Maui, HI, USA.
Yahoo! Music Recommendations: Modeling Music Ratings with
Temporal Dynamics and Taxonomy (pdf)
Gideon Dror, Noam Koenigstein and Yehuda Koren
ACM Conference on
Recommender Systems (RecSys'11)}, October 2011, Chicago, IL, USA.
The Yahoo! Music Dataset and KDDCup’11 (pdf)
Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer
The 7th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD):
KDD Cup 2011 Workshop, August 2011, San Diego, CA, USA.
Analyzing The DC File Sharing Network (short
paper) (pdf)
Pavel Gurvich, Noam
Koenigstein, Yuval Shavitt
The IEEE International Conference on
Peer-to-Peer Computing (P2P'10), August 2010, Delft, The Netherland.
Collaborative Filtering Based on P2P Networks (pdf)
Noam Koenigstein, Gert Lanckriet, Brian McFee, Yuval Shavitt
International Society for Music Information Retrieval (ISMIR'10),
August 2010, Utrecht, The Netherland
On the Applicability of Peer-to-Peer Data in Music Information
Retrieval Research (pdf)
Noam
Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
International Society for Music Information Retrieval (ISMIR'10),
August 2010, Utrecht, The Netherland.
What’s Hot? Estimating Country Specific
Artist Popularity (pdf)
Markus
Schedl, Tim Pohle, Noam Koenigstein, Peter Knees
International
Society for Music Information Retrieval (ISMIR'10), August 2010,
Utrecht, The Netherland.
A Framework for Extracting Musical
Similarities From Peer-To-Peer Networks (pdf)
Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
AdMIRe:
International Workshop on Advances in Music Information Research 2010 (In
Conjunction with the ICME 2010), July 2010, Singapore.
Song Ranking Based on Piracy in Peer-to-Peer Networks (pdf)
Noam Koenigstein, Yuval Shavitt
International Society for Music
Information Retrieval (ISMIR'09), October 2009, Kobe, Japan.
Predicting Billboard Success Using Data-Mining in P2P Networks (pdf)
Noam Koenigstein, Yuval Shavitt, Noa Zilberman
AdMIRe:
International Workshop on Advances in Music Information Research 2009 (In
Conjunction with the IEEE International Symposium on Multimedia 2009),
December 2009, San Diego, CA, USA.
Spotting Out Emerging Artists Using Geo-Aware Analysis of P2P
Query Strings (short presentation, full paper) (pdf)
Noam Koenigstein, Yuval Shavitt, Tomer Tankel
The ACM SIGKDD
Conference on Knowledge Discovery and Data Mining (KDD'09), Las Vegas,
NV, USA, August 2008.
Journals
The Yahoo! Music Dataset and KDDCup’11 (pdf)
Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer
Journal of Machine Learning Research (JMLR), 17:1-12. 2011.
Web Scale Media Recommendation Systems (pdf)
Gideon Dror, Noam Koenigstein, Yehuda Koren
Proceedings of
the IEEE, 100 (9), 2722-2736, 2012.
Talent Scouting in P2P Networks (pdf)
Noam Koenigstein, Yuval Shavitt
Computer Networks,
56(3):970-982, February 2012
Measuring the Validity of Peer-to-Peer Data
for Information Retrieval Applications (pdf)
Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
Computer Networks, 56(3):1092-1102, February 2012.
Other
My Ph.D. dissertation can be found here.