default search action
Noam Koenigstein
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
- [j7]Ori Katz, Oren Barkan, Noam Koenigstein:
Personalized Cadence Awareness for Next Basket Recommendation. Trans. Recomm. Syst. 3(1): 6:1-6:23 (2025) - 2024
- [j6]Oren Barkan, Tom Shaked, Yonatan Fuchs, Noam Koenigstein:
Modeling users' heterogeneous taste with diversified attentive user profiles. User Model. User Adapt. Interact. 34(2): 375-405 (2024) - [c59]Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein:
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. ACL (1) 2024: 9333-9347 - [c58]Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, Noam Koenigstein:
Unsupervised Topic-Conditional Extractive Summarization. ICASSP 2024: 11286-11290 - [c57]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: 11361-11365 - [c56]Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein:
A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. WWW 2024: 3723-3733 - [i27]Noy Uzrad, Oren Barkan, Almog Elharar, Shlomi Shvartzman, Moshe Laufer, Lior Wolf, Noam Koenigstein:
DiffMoog: a Differentiable Modular Synthesizer for Sound Matching. CoRR abs/2401.12570 (2024) - [i26]Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein:
In Search of Truth: An Interrogation Approach to Hallucination Detection. CoRR abs/2403.02889 (2024) - 2023
- [j5]Keren Gaiger, Oren Barkan, Shir Tsipory-Samuel, Noam Koenigstein:
Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering. IEEE Access 11: 34746-34763 (2023) - [c55]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. CIKM 2023: 57-67 - [c54]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: 5246-5247 - [c53]Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein:
Visual Explanations via Iterated Integrated Attributions. ICCV 2023: 2073-2084 - [c52]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: 19950-19961 - [c51]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Stochastic Integrated Explanations for Vision Models. ICDM 2023: 938-943 - [c50]Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein:
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM 2023: 944-949 - [c49]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: 642-648 - [i25]Nitzan Farhi, Noam Koenigstein, Yuval Shavitt:
Detecting Security Patches via Behavioral Data in Code Repositories. CoRR abs/2302.02112 (2023) - [i24]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 abs/2306.07941 (2023) - [i23]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Representation Learning via Variational Bayesian Networks. CoRR abs/2306.16326 (2023) - [i22]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 abs/2308.14753 (2023) - [i21]Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein:
Deep Integrated Explanations. CoRR abs/2310.15368 (2023) - [i20]Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein:
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. CoRR abs/2310.16584 (2023) - [i19]Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein:
Visual Explanations via Iterated Integrated Attributions. CoRR abs/2310.18585 (2023) - 2022
- [c48]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein:
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP 2022: 1-5 - [c47]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: 316-326 - [c46]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW 2022: 3259-3268 - [i18]Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein:
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CoRR abs/2204.11073 (2022) - [i17]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein:
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR abs/2208.06610 (2022) - [i16]Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR abs/2208.06612 (2022) - 2021
- [c45]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: 3088-3098 - [c44]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: 68-77 - [c43]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Representation Learning via Variational Bayesian Networks. CIKM 2021: 78-88 - [c42]Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein:
Anchor-based Collaborative Filtering. CIKM 2021: 2877-2881 - [c41]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: 2882-2887 - [c40]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: 3260-3264 - [c39]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: 994-999 - [i15]Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein:
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR abs/2106.01186 (2021) - [i14]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 abs/2109.00951 (2021) - [i13]Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein:
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. CoRR abs/2112.07615 (2021) - 2020
- [c38]Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI 2020: 3235-3242 - [c37]Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein:
Bayesian Hierarchical Words Representation Learning. ACL 2020: 3871-3877 - [c36]Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein:
Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) 2020: 1704-1714 - [c35]Oren Barkan, Ori Katz, Noam Koenigstein:
Neural Attentive Multiview Machines. ICASSP 2020: 3357-3361 - [c34]Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein:
Attentive Item2vec: Neural Attentive User Representations. ICASSP 2020: 3377-3381 - [c33]Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein:
Cold Item Recommendations via Hierarchical Item2vec. ICDM 2020: 912-917 - [c32]Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein:
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. RecSys 2020: 468-473 - [e1]Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen, Kim Falk, Noam Koenigstein, Edleno Silva de Moura:
RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020. ACM 2020, ISBN 978-1-4503-7583-2 [contents] - [i12]Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein:
Attentive Item2Vec: Neural Attentive User Representations. CoRR abs/2002.06205 (2020) - [i11]Oren Barkan, Ori Katz, Noam Koenigstein:
Neural Attentive Multiview Machines. CoRR abs/2002.07696 (2020) - [i10]Dor Bank, Noam Koenigstein, Raja Giryes:
Autoencoders. CoRR abs/2003.05991 (2020) - [i9]Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein:
Bayesian Hierarchical Words Representation Learning. CoRR abs/2004.07126 (2020) - [i8]Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein:
RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR abs/2009.13292 (2020) - [i7]Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein:
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. CoRR abs/2010.07042 (2020)
2010 – 2019
- 2019
- [j4]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): 2385-2396 (2019) - [c31]Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz:
CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys 2019: 228-236 - [c30]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: 287-295 - [c29]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: 472-476 - [i6]Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein:
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR abs/1908.05161 (2019) - 2017
- [c28]Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
Low-Rank Factorization of Determinantal Point Processes. AAAI 2017: 1912-1918 - [c27]Noam Koenigstein:
Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights. RecSys 2017: 336-337 - [c26]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: 445-453 - 2016
- [c25]Oren Barkan, Noam Koenigstein:
ITEM2VEC: Neural item embedding for collaborative filtering. MLSP 2016: 1-6 - [c24]Oren Barkan, Yael Brumer, Noam Koenigstein:
Modelling Session Activity with Neural Embedding. RecSys Posters 2016 - [c23]Oren Barkan, Noam Koenigstein:
Item2vec: Neural Item Embedding for Collaborative Filtering. RecSys Posters 2016 - [c22]Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
Bayesian Low-Rank Determinantal Point Processes. RecSys 2016: 349-356 - [c21]Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan:
Beyond Collaborative Filtering: The List Recommendation Problem. WWW 2016: 63-72 - [i5]Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
Low-Rank Factorization of Determinantal Point Processes for Recommendation. CoRR abs/1602.05436 (2016) - [i4]Oren Barkan, Noam Koenigstein:
Item2Vec: Neural Item Embedding for Collaborative Filtering. CoRR abs/1603.04259 (2016) - [i3]Mike Gartrell, Ulrich Paquet, Noam Koenigstein:
The Bayesian Low-Rank Determinantal Point Process Mixture Model. CoRR abs/1608.04245 (2016) - [i2]Oren Barkan, Noam Koenigstein, Eylon Yogev:
The Deep Journey from Content to Collaborative Filtering. CoRR abs/1611.00384 (2016) - 2014
- [c20]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: 257-264 - [c19]Shay Ben-Elazar, Noam Koenigstein:
A Hybrid Explanations Framework for Collaborative Filtering Recommender Systems. RecSys Posters 2014 - [c18]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: 31-38 - [p1]Markus Schedl, Mohamed Sordo, Noam Koenigstein, Udi Weinsberg:
Mining User Generated Data for Music Information Retrieval. Mining User Generated Content 2014: 67-96 - 2013
- [c17]Noam Koenigstein, Ulrich Paquet:
Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection. RecSys 2013: 129-136 - [c16]Royi Ronen, Noam Koenigstein, Elad Ziklik, Nir Nice:
Selecting content-based features for collaborative filtering recommenders. RecSys 2013: 407-410 - [c15]Noam Koenigstein, Yehuda Koren:
Towards scalable and accurate item-oriented recommendations. RecSys 2013: 419-422 - [c14]Royi Ronen, Noam Koenigstein, Elad Ziklik, Mikael Sitruk, Ronen Yaari, Neta Haiby-Weiss:
Sage: recommender engine as a cloud service. RecSys 2013: 475-476 - [c13]Ulrich Paquet, Noam Koenigstein:
One-class collaborative filtering with random graphs. WWW 2013: 999-1008 - [i1]Ulrich Paquet, Noam Koenigstein:
One-class Collaborative Filtering with Random Graphs: Annotated Version. CoRR abs/1309.6786 (2013) - 2012
- [j3]Noam Koenigstein, Yuval Shavitt:
Talent scouting in P2P networks. Comput. Networks 56(3): 970-982 (2012) - [j2]Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
Measuring the validity of peer-to-peer data for information retrieval applications. Comput. Networks 56(3): 1092-1102 (2012) - [j1]Gideon Dror, Noam Koenigstein, Yehuda Koren:
Web-Scale Media Recommendation Systems. Proc. IEEE 100(9): 2722-2736 (2012) - [c12]Noam Koenigstein, Parikshit Ram, Yuval Shavitt:
Efficient retrieval of recommendations in a matrix factorization framework. CIKM 2012: 535-544 - [c11]Noam Koenigstein, Nir Nice, Ulrich Paquet, Nir Schleyen:
The Xbox recommender system. RecSys 2012: 281-284 - [c10]Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer:
The Yahoo! Music Dataset and KDD-Cup '11. KDD Cup 2012: 8-18 - 2011
- [c9]Noam Koenigstein, Gideon Dror, Yehuda Koren:
Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. RecSys 2011: 165-172 - 2010
- [c8]Noam Koenigstein, Yuval Shavitt, Tomer Tankel, Ela Weinsberg, Udi Weinsberg:
A framework for extracting musical similarities from peer-to-peer networks. ICME 2010: 1433-1438 - [c7]Markus Schedl, Tim Pohle, Noam Koenigstein, Peter Knees:
What's Hot? Estimating Country-specific Artist Popularity. ISMIR 2010: 117-122 - [c6]Noam Koenigstein, Gert R. G. Lanckriet, Brian McFee, Yuval Shavitt:
Collaborative Filtering Based on P2P Networks. ISMIR 2010: 153-158 - [c5]Noam Koenigstein, Yuval Shavitt, Ela Weinsberg, Udi Weinsberg:
On the Applicability of Peer-to-peer Data in Music Information Retrieval Research. ISMIR 2010: 273-278 - [c4]Pavel Gurvich, Noam Koenigstein, Yuval Shavitt:
Analyzing the DC File Sharing Network. Peer-to-Peer Computing 2010: 1-4
2000 – 2009
- 2009
- [c3]Noam Koenigstein, Yuval Shavitt, Noa Zilberman:
Predicting Billboard Success Using Data-Mining in P2P Networks. ISM 2009: 465-470 - [c2]Noam Koenigstein, Yuval Shavitt:
Song Ranking based on Piracy in Peer-to-Peer Networks. ISMIR 2009: 633-638 - 2008
- [c1]Noam Koenigstein, Yuval Shavitt, Tomer Tankel:
Spotting out emerging artists using geo-aware analysis of P2P query strings. KDD 2008: 937-945
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:25 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint