Noam Koenigstein

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 68

Top Topics

Collaborative Filtering

Item Recommendation

Top Venues

Publications

Noy Uzrad, Oren Barkan, Almog Elharar, Shlomi Shvartzman, Moshe Laufer, Lior Wolf, Noam Koenigstein
DiffMoog: a Differentiable Modular Synthesizer for Sound Matching. CoRR (2024)
Oren Barkan, Tom Shaked, Yonatan Fuchs, Noam Koenigstein
Modeling users' heterogeneous taste with diversified attentive user profiles. User Model. User Adapt. Interact. 34 (2) (2024)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
In Search of Truth: An Interrogation Approach to Hallucination Detection. CoRR (2024)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. ICASSP (2024)
Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein
A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. WWW (2024)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. ACL (1) (2024)
Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, Noam Koenigstein
Unsupervised Topic-Conditional Extractive Summarization. ICASSP (2024)
Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM (2023)
Keren Gaiger, Oren Barkan, Shir Tsipory-Samuel, Noam Koenigstein
Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering. IEEE Access 11 (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Deep Integrated Explanations. CIKM (2023)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. ICCV (2023)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. CIKM (2023)
Nitzan Farhi, Noam Koenigstein, Yuval Shavitt
Detecting Security Patches via Behavioral Data in Code Repositories. CoRR (2023)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Deep Integrated Explanations. CoRR (2023)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein
Visual Explanations via Iterated Integrated Attributions. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Stochastic Integrated Explanations for Vision Models. ICDM (2023)
Oren Barkan, Shlomi Shvartzman, Noy Uzrad, Moshe Laufer, Almog Elharar, Noam Koenigstein
Inversynth II: Sound Matching via Self-Supervised Synthesizer-Proxy and Inference-Time Finetuning. ISMIR (2023)
Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. CoRR (2023)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein
Visual Explanations via Iterated Integrated Attributions. ICCV (2023)
Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR (2022)
Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari
Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. RecSys (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW (2022)
Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CIKM (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein
Anchor-based Collaborative Filtering. CIKM (2021)
Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CoRR (2021)
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. CoRR (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Yoni Weill, Noam Koenigstein
Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization. ICASSP (2021)
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. ACL/IJCNLP (Findings) (2021)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CIKM (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. ICDM (2021)
Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CIKM (2021)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) (2020)
Oren Barkan, Ori Katz, Noam Koenigstein
Neural Attentive Multiview Machines. ICASSP (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI (2020)
Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein
Bayesian Hierarchical Words Representation Learning. CoRR (2020)
Dor Bank, Noam Koenigstein, Raja Giryes
Autoencoders. CoRR (2020)
Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
Attentive Item2vec: Neural Attentive User Representations. ICASSP (2020)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Cold Item Recommendations via Hierarchical Item2vec. ICDM (2020)
Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein
Bayesian Hierarchical Words Representation Learning. ACL (2020)
Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. CoRR (2020)
Oren Barkan, Ori Katz, Noam Koenigstein
Neural Attentive Multiview Machines. CoRR (2020)
Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
Attentive Item2Vec: Neural Attentive User Representations. CoRR (2020)
Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. RecSys (2020)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR (2019)
Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron I. Allerhand, Nir Nice, Noam Koenigstein
Pick & merge: an efficient item filtering scheme for Windows store recommendations. RecSys (2019)
Gal Lavee, Noam Koenigstein, Oren Barkan
When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction. RecSys (2019)
Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz
CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys (2019)
Oren Barkan, David Tsiris, Ori Katz, Noam Koenigstein
InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Noam Koenigstein
Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights. RecSys (2017)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Low-Rank Factorization of Determinantal Point Processes. AAAI (2017)
Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai
Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. WSDM (2017)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Bayesian Low-Rank Determinantal Point Processes. RecSys (2016)
Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan
Beyond Collaborative Filtering: The List Recommendation Problem. WWW (2016)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
The Bayesian Low-Rank Determinantal Point Process Mixture Model. CoRR (2016)
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Low-Rank Factorization of Determinantal Point Processes for Recommendation. CoRR (2016)
Oren Barkan, Noam Koenigstein
Item2Vec: Neural Item Embedding for Collaborative Filtering. CoRR (2016)
Oren Barkan, Yael Brumer, Noam Koenigstein
Modelling Session Activity with Neural Embedding. RecSys Posters (2016)
Oren Barkan, Noam Koenigstein
Item2vec: Neural Item Embedding for Collaborative Filtering. RecSys Posters (2016)
Oren Barkan, Noam Koenigstein
ITEM2VEC: Neural item embedding for collaborative filtering. MLSP (2016)
Oren Barkan, Noam Koenigstein, Eylon Yogev
The Deep Journey from Content to Collaborative Filtering. CoRR (2016)
Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. RecSys (2014)
Allison June-Barlow Chaney, Mike Gartrell, Jake M. Hofman, John Guiver, Noam Koenigstein, Pushmeet Kohli, Ulrich Paquet
A large-scale exploration of group viewing patterns. TVX (2014)
Shay Ben-Elazar, Noam Koenigstein
A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems. RecSys Posters (2014)
Noam Koenigstein, Ulrich Paquet
Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection. RecSys (2013)
Ulrich Paquet, Noam Koenigstein
One-class collaborative filtering with random graphs. WWW (2013)
Noam Koenigstein, Yehuda Koren
Towards scalable and accurate item-oriented recommendations. RecSys (2013)
Royi Ronen, Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari, Neta Haiby-Weiss
Sage: recommender engine as a cloud service. RecSys (2013)
Royi Ronen, Noam Koenigstein, Elad Ziklik, Nir Nice
Selecting content-based features for collaborative filtering recommenders. RecSys (2013)
Ulrich Paquet, Noam Koenigstein
One-class Collaborative Filtering with Random Graphs: Annotated Version. CoRR (2013)
Gideon Dror, Noam Koenigstein, Yehuda Koren
Web-Scale Media Recommendation Systems. Proc. IEEE 100 (9) (2012)
Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen
The Xbox recommender system. RecSys (2012)
Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer
The Yahoo! Music Dataset and KDD-Cup '11. KDD Cup (2012)
Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
Measuring the validity of peer-to-peer data for information retrieval applications. Comput. Networks 56 (3) (2012)
Noam Koenigstein, Yuval Shavitt
Talent scouting in P2P networks. Comput. Networks 56 (3) (2012)
Noam Koenigstein, Parikshit Ram, Yuval Shavitt
Efficient retrieval of recommendations in a matrix factorization framework. CIKM (2012)
Noam Koenigstein, Gideon Dror, Yehuda Koren
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. RecSys (2011)
Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt
Collaborative Filtering Based on P2P Networks. ISMIR (2010)
Pavel Gurvich, Noam Koenigstein, Yuval Shavitt
Analyzing the DC File Sharing Network. Peer-to-Peer Computing (2010)
Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg
On the Applicability of Peer-to-peer Data in Music Information Retrieval Research. ISMIR (2010)
Markus Schedl, Tim Pohle, Noam Koenigstein, Peter Knees
What's Hot? Estimating Country-specific Artist Popularity. ISMIR (2010)
Noam Koenigstein, Yuval Shavitt, Tomer Tankel, Ela Weinsberg, Udi Weinsberg
A framework for extracting musical similarities from peer-to-peer networks. ICME (2010)
Noam Koenigstein, Yuval Shavitt, Noa Zilberman
Predicting Billboard Success Using Data-Mining in P2P Networks. ISM (2009)
Noam Koenigstein, Yuval Shavitt
Song Ranking based on Piracy in Peer-to-Peer Networks. ISMIR (2009)
Noam Koenigstein, Yuval Shavitt, Tomer Tankel
Spotting out emerging artists using geo-aware analysis of P2P query strings. KDD (2008)