| 2025 | RecSys | Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection. | Oren Sar Shalom, Neil Daftary |
| 2023 | WWW | Semi-supervised Adversarial Learning for Complementary Item Recommendation. | Koby Bibas, Oren Sar Shalom, Dietmar Jannach |
| 2022 | CIKM | Collaborative Image Understanding. | Koby Bibas, Oren Sar Shalom, Dietmar Jannach |
| 2022 | RecSys | BRUCE: Bundle Recommendation Using Contextualized item Embeddings. | Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last |
| 2021 | WSDM | A Black-Box Attack Model for Visually-Aware Recommender Systems. | Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir |
| 2020 | ICPRAM | Learning Question Similarity in CQA from References and Query-logs. | Alex Zhicharevich, Moni Shahar, Oren Sar Shalom |
| 2020 | RecSys | Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. | Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan |
| 2019 | ICPRAM | Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. | Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom |
| 2019 | RecSys | Towards More Impactful Recommender Systems Research. | Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan |
| 2019 | RecSys | First workshop on the impact of recommender systems at ACM RecSys 2019. | Oren Sar Shalom, Dietmar Jannach, Ido Guy |
| 2019 | RecSys | A generative model for review-based recommendations. | Oren Sar Shalom, Guy Uziel, Amir Kantor |
| 2018 | EMNLP | Understanding Convolutional Neural Networks for Text Classification. | Alon Jacovi, Oren Sar Shalom, Yoav Goldberg |
| 2018 | Interspeech | Word Emphasis Prediction for Expressive Text to Speech. | Yosi Mass, Slava Shechtman, Moran Mordechay, Ron Hoory, Oren Sar Shalom, Guy Lev, David Konopnicki |
| 2018 | ICTIR | A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. | Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor |
| 2018 | RecSys | Rank and rate: multi-task learning for recommender systems. | Guy Hadash, Oren Sar Shalom, Rita Osadchy |
| 2018 | RecSys | DLRS 2018: third workshop on deep learning for recommender systems. | Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman |
| 2017 | ICTIR | Enhanced Mean Retrieval Score Estimation for Query Performance Prediction. | Haggai Roitman, Shai Erera, Oren Sar Shalom, Bar Weiner |
| 2017 | ICTIR | A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. | Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amihood Amir |
| 2017 | RecSys | DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. | Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk |
| 2016 | RecSys | RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). | Alexandros Karatzoglou, Balzs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach |
| 2016 | WWW | Beyond Collaborative Filtering: The List Recommendation Problem. | Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan |
| 2015 | RecSys | Data Quality Matters in Recommender Systems. | Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir |
| 2014 | CPM | On the Efficiency of the Hamming C-Centerstring Problems. | Amihood Amir, Jessica Ficler, Liam Roditty, Oren Sar Shalom |
| 2014 | LATIN | Multiply Balanced k -Partitioning. | Amihood Amir, Jessica Ficler, Robert Krauthgamer, Liam Roditty, Oren Sar Shalom |
| 2010 | SPIRE | A PTAS for the Square Tiling Problem. | Amihood Amir, Alberto Apostolico, Gad M. Landau, Oren Sar Shalom |