Oren Sar Shalom
Oren Sar Shalom
IBM Research
Verified email at cs.biu.ac.il
Cited by
Cited by
Understanding convolutional neural networks for text classification
A Jacovi, OS Shalom, Y Goldberg
arXiv preprint arXiv:1809.08037, 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
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
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
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
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
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
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
Multiply Balanced k −Partitioning
A Amir, J Ficler, R Krauthgamer, L Roditty, OS Shalom
Latin American Symposium on Theoretical Informatics, 586-597, 2014
Towards More Impactful Recommender Systems Research.
D Jannach, OS Shalom, JA Konstan
ImpactRS@ RecSys, 2019
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
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
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
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
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
Mutual Reinforcement of Collaborative Filtering and Sentiment Analysis
H Roitman, O Sar-Shalom
US Patent App. 15/207,523, 2018
Learning Question Similarity in CQA from References and Query-logs
A Zhicharevich, M Shahar, OS Shalom
Proceedings of the 9th International Conference on Pattern Recognition …, 2020
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
Unsupervised anomaly detection using generative adversarial networks
G Lev, M Ninio, OS Shalom
US Patent App. 15/813,192, 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
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