| Understanding convolutional neural networks for text classification A Jacovi, OS Shalom, Y Goldberg arXiv preprint arXiv:1809.08037, 2018 | 82 | 2018 |
| Beyond collaborative filtering: The list recommendation problem O Sar Shalom, N Koenigstein, U Paquet, HP Vanchinathan Proceedings of the 25th international conference on world wide web, 63-72, 2016 | 29 | 2016 |
| Enhanced Mean Retrieval Score Estimation for Query Performance Prediction H Roitman, S Erera, O Sar Shalom, B Weiner Proceedings of the ACM SIGIR International Conference on Theory of …, 2017 | 17 | 2017 |
| Word Emphasis Prediction for Expressive Text to Speech Y Mass, S Shechtman, M Mordechay, R Hoory, O Sar Shalom, G Lev, ... Interspeech 2018, 2868-2872, 2018 | 11 | 2018 |
| Data quality matters in recommender systems O Sar Shalom, S Berkovsky, R Ronen, E Ziklik, A Amihood Proceedings of the 9th ACM Conference on Recommender Systems, 257-260, 2015 | 11 | 2015 |
| RecSys' 16 Workshop on Deep Learning for Recommender Systems (DLRS) A Karatzoglou, B Hidasi, D Tikk, O Sar-Shalom, H Roitman, B Shapira, ... Proceedings of the 10th ACM Conference on Recommender Systems, 415-416, 2016 | 10 | 2016 |
| Rank and rate: multi-task learning for recommender systems G Hadash, OS Shalom, R Osadchy Proceedings of the 12th ACM Conference on Recommender Systems, 451-454, 2018 | 8 | 2018 |
| Dlrs 2017: Second workshop on deep learning for recommender systems B Hidasi, A Karatzoglou, O Sar-Shalom, S Dieleman, B Shapira, D Tikk Proceedings of the Eleventh ACM Conference on Recommender Systems, 370-371, 2017 | 7 | 2017 |
| Multiply Balanced k −Partitioning A Amir, J Ficler, R Krauthgamer, L Roditty, OS Shalom Latin American Symposium on Theoretical Informatics, 586-597, 2014 | 6 | 2014 |
| Towards More Impactful Recommender Systems Research. D Jannach, OS Shalom, JA Konstan ImpactRS@ RecSys, 2019 | 5 | 2019 |
| A generative model for review-based recommendations OS Shalom, G Uziel, A Kantor Proceedings of the 13th ACM Conference on Recommender Systems, 353-357, 2019 | 4 | 2019 |
| Are All Rejected Recommendations Equally Bad? Towards Analysing Rejected Recommendations S Frumerman, G Shani, B Shapira, O Sar Shalom Proceedings of the 27th ACM Conference on User Modeling, Adaptation and …, 2019 | 3 | 2019 |
| Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations YS Resheff, Y Elazar, M Shahar, OS Shalom arXiv preprint arXiv:1807.03521, 2018 | 3 | 2018 |
| As stable as you are: Re-ranking search results using query-drift analysis H Roitman, E Rabinovich, O Sar Shalom Proceedings of the 29th on Hypertext and Social Media, 33-37, 2018 | 3 | 2018 |
| Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions O Sar Shalom, H Roitman, A Amir, A Karatzoglou Proceedings of the 29th on Hypertext and Social Media, 43-51, 2018 | 3 | 2018 |
| On the efficiency of the Hamming c-centerstring problems A Amir, J Ficler, L Roditty, OS Shalom Symposium on Combinatorial Pattern Matching, 1-10, 2014 | 3 | 2014 |
| First workshop on the impact of recommender systems at ACM RecSys 2019 OS Shalom, D Jannach, I Guy Proceedings of the 13th ACM Conference on Recommender Systems, 556-557, 2019 | 2 | 2019 |
| A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering O Sar Shalom, G Uziel, A Karatzoglou, A Kantor Proceedings of the 2018 ACM SIGIR International Conference on Theory of …, 2018 | 2 | 2018 |
| Mutual Reinforcement of Collaborative Filtering and Sentiment Analysis H Roitman, O Sar-Shalom US Patent App. 15/207,523, 2018 | 2 | 2018 |
| A Black-Box Attack Model for Visually-Aware Recommender Systems R Cohen, OS Shalom, D Jannach, A Amir arXiv preprint arXiv:2011.02701, 2020 | 1 | 2020 |
