Noam Koenigstein

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Representation Learning via Variational Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

RecoBERT: A Catalog Language Model for Text-Based Recommendations.

[BibT_eX]

[DOI]

CoRR, 2020

Autoencoders.

[BibT_eX]

[DOI]

Dor Bank

Raja Giryes

CoRR, 2020

Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Cold Item Recommendations via Hierarchical Item2vec.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Neural Attentive Multiview Machines.

[BibT_eX]

[DOI]

Ori Katz

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Attentive Item2vec: Neural Attentive User Representations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimizing BERT for Unlabeled Text-Based Items Similarity.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Bayesian Hierarchical Words Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Pick & merge: an efficient item filtering scheme for Windows store recommendations.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction.

[BibT_eX]

[DOI]

Gal Lavee

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2017

Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation.

[BibT_eX]

[DOI]

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Low-Rank Factorization of Determinantal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

The Bayesian Low-Rank Determinantal Point Process Mixture Model.

[BibT_eX]

[DOI]

CoRR, 2016

Low-Rank Factorization of Determinantal Point Processes for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2016

The Deep Journey from Content to Collaborative Filtering.

[BibT_eX]

[DOI]

Eylon Yogev

CoRR, 2016

Beyond Collaborative Filtering: The List Recommendation Problem.

[BibT_eX]

[DOI]

Oren Sar Shalom

Hastagiri P. Vanchinathan

Proceedings of the 25th International Conference on World Wide Web, 2016

Bayesian Low-Rank Determinantal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Modelling Session Activity with Neural Embedding.

[BibT_eX]

[DOI]

Yael Brumer

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

ITEM2VEC: Neural item embedding for collaborative filtering.

[BibT_eX]

[DOI]

Allison June-Barlow Chaney

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2014

A large-scale exploration of group viewing patterns.

[BibT_eX]

[DOI]

Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video, 2014

A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems.

[BibT_eX]

[DOI]

Shay Ben-Elazar

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Mining User Generated Data for Music Information Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Mining User Generated Content., 2014

2013

One-class Collaborative Filtering with Random Graphs: Annotated Version.

[BibT_eX]

[DOI]

CoRR, 2013

One-class collaborative filtering with random graphs.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Sage: recommender engine as a cloud service.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Selecting content-based features for collaborative filtering recommenders.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Towards scalable and accurate item-oriented recommendations.

[BibT_eX]

[DOI]

Yehuda Koren

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012

Web-Scale Media Recommendation Systems.

[BibT_eX]

[DOI]

Gideon Dror

Yehuda Koren

Proc. IEEE, 2012

The Yahoo! Music Dataset and KDD-Cup '11.

[BibT_eX]

[DOI]

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Measuring the validity of peer-to-peer data for information retrieval applications.

[BibT_eX]

[DOI]

Comput. Networks, 2012

Talent scouting in P2P networks.

[BibT_eX]

[DOI]

Comput. Networks, 2012

The Xbox recommender system.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Efficient retrieval of recommendations in a matrix factorization framework.

[BibT_eX]

[DOI]

Parikshit Ram

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy.

[BibT_eX]

[DOI]

Gideon Dror

Yehuda Koren

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

2010

Analyzing the DC File Sharing Network.

[BibT_eX]

[DOI]

Pavel Gurvich

Proceedings of the IEEE Tenth International Conference on Peer-to-Peer Computing, 2010

What's Hot? Estimating Country-specific Artist Popularity.

[BibT_eX]

[DOI]

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

On the Applicability of Peer-to-peer Data in Music Information Retrieval Research.

[BibT_eX]

[DOI]

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Collaborative Filtering Based on P2P Networks.

[BibT_eX]

[DOI]

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

A framework for extracting musical similarities from peer-to-peer networks.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

2009

Song Ranking based on Piracy in Peer-to-Peer Networks.

[BibT_eX]

[DOI]

Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

Predicting Billboard Success Using Data-Mining in P2P Networks.

[BibT_eX]

[DOI]

Noa Zilberman

Proceedings of the 11th IEEE International Symposium on Multimedia, 2009

2008

Spotting out emerging artists using geo-aware analysis of P2P query strings.

[BibT_eX]

[DOI]