| Item2vec: neural item embedding for collaborative filtering O Barkan, N Koenigstein 2016 IEEE Machine Learning for Signal Processing (MLSP), 2016 | 642 | 2016 |
| Bayesian neural word embedding O Barkan Thirty-First AAAI Conference on Artificial Intelligence, 2017, 2017 | 276 | 2017 |
| Fast high dimensional vector multiplication face recognition O Barkan, J Weill, L Wolf, H Aronowitz Proceedings of the IEEE International Conference on Computer Vision, 1960-1967, 2013 | 225 | 2013 |
| Evaluation of speech-based protocol for detection of early-stage dementia. A Satt, A Sorin, O Toledo-Ronen, O Barkan, I Kompatsiaris, A Kokonozi, ... INTERSPEECH, 1692-1696, 2013 | 101 | 2013 |
| CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations O Barkan, N Koenigstein, E Yogev, O Katz Proceedings of the 13th ACM Conference on Recommender Systems, 228-236, 2019 | 74 | 2019 |
| Video upload system O Barkan, E Barkan US Patent App. 12/219,877, 2009 | 56 | 2009 |
| Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks O Barkan, J Benchimol, I Caspi, E Cohen, A Hammer, N Koenigstein International Journal of Forecasting, 2022 | 42 | 2022 |
| Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding O Barkan, N Razin, I Malkiel, O Katz, A Caciularu, N Koenigstein AAAI 2020, 2020 | 39 | 2020 |
| Explainable recommendations via attentive multi-persona collaborative filtering O Barkan, Y Fuchs, A Caciularu, N Koenigstein Proceedings of the 14th ACM Conference on Recommender Systems, 468-473, 2020 | 33 | 2020 |
| Efficient approximated i-vector extraction H Aronowitz, O Barkan 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 29 | 2012 |
| Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps O Barkan, E Hauon, A Caciularu, O Katz, I Malkiel, O Armstrong, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 28 | 2021 |
| Attentive Item2vec: Neural Attentive User Representations O Barkan, A Caciularu, O Katz, N Koenigstein IEEE ICASSP 2020, 2020 | 28 | 2020 |
| InverSynth: Deep Estimation of Synthesizer Parameter Configurations from Audio Signals O Barkan, D Tsiris, O Katz, N Koenigstein IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 27 | 2019 |
| RecoBERT: A Catalog Language Model for Text-Based Recommendations I Malkiel, O Barkan, A Caciularu, N Razin, O Katz, N Koenigstein arXiv preprint arXiv:2009.13292, 2020 | 26 | 2020 |
| On leveraging conversational data for building a text dependent speaker verification system H Aronowitz, O Barkan Interspeech, 2470-2473, 2013 | 25 | 2013 |
| Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference D Ginzburg, I Malkiel, O Barkan, A Caciularu, N Koenigstein arXiv preprint arXiv:2106.01186, 2021 | 24 | 2021 |
| Adaptive compressed tomography sensing O Barkan, J Weill, A Averbuch, S Dekel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 24 | 2013 |
| Groove radio: A bayesian hierarchical model for personalized playlist generation S Ben-Elazar, G Lavee, N Koenigstein, O Barkan, H Berezin, U Paquet, ... Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017 | 20 | 2017 |
| Anchor-based collaborative filtering O Barkan, R Hirsch, O Katz, A Caciularu, N Koenigstein Proceedings of the 30th ACM International Conference on Information …, 2021 | 19 | 2021 |
| Cold Item Recommendations via Hierarchical Item2vec O Barkan, A Caciularu, I Rejwan, O Katz, J Weill, I Malkiel, N Koenigstein 2020 IEEE International Conference on Data Mining (ICDM), 912-917, 2020 | 19 | 2020 |
