A PTAS for the Square Tiling Problem. - Amihood Amir; Alberto Apostolico; Gad M. Landau; Oren Sar Shalom (SPIRE, 2010)

On the Efficiency of the Hamming C-Centerstring Problems. - Amihood Amir; Jessica Ficler; Liam Roditty; Oren Sar Shalom (CPM, 2014)

Multiply Balanced k -Partitioning. - Amihood Amir; Jessica Ficler; Robert Krauthgamer; Liam Roditty; Oren Sar Shalom (LATIN, 2014)

Data Quality Matters in Recommender Systems. - Oren Sar Shalom; Shlomo Berkovsky; Royi Ronen; Elad Ziklik; Amihood Amir (RecSys, 2015)

A PTAS for the Square Tiling Problem. - Amihood Amir; Alberto Apostolico; Gad M. Landau; Ely Porat; Oren Sar Shalom (Theor. Comput. Sci., 2015)

RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). - Alexandros Karatzoglou; Balázs Hidasi; Domonkos Tikk; Oren Sar Shalom; Haggai Roitman; Bracha Shapira; Lior Rokach (RecSys, 2016)

Beyond Collaborative Filtering: The List Recommendation Problem. - Oren Sar Shalom; Noam Koenigstein; Ulrich Paquet; Hastagiri P. Vanchinathan (WWW, 2016)

Enhanced Mean Retrieval Score Estimation for Query Performance Prediction. - Haggai Roitman; Shai Erera; Oren Sar Shalom; Bar Weiner (ICTIR, 2017)

A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. - Oren Sar Shalom; Haggai Roitman; Yishay Mansour; Amihood Amir (ICTIR, 2017)

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. - Balázs Hidasi; Alexandros Karatzoglou; Oren Sar Shalom; Sander Dieleman; Bracha Shapira; Domonkos Tikk (RecSys, 2017)

Understanding Convolutional Neural Networks for Text Classification. - Alon Jacovi; Oren Sar Shalom; Yoav Goldberg (BlackboxNLP@EMNLP, 2018)

As Stable As You Are: Re-ranking Search Results using Query-Drift Analysis. - Haggai Roitman; Ella Rabinovich; Oren Sar Shalom (HT, 2018)

Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. - Oren Sar Shalom; Haggai Roitman; Amihood Amir; Alexandros Karatzoglou (HT, 2018)

A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. - Oren Sar Shalom; Guy Uziel; Alexandros Karatzoglou; Amir Kantor (ICTIR, 2018)

Word Emphasis Prediction for Expressive Text to Speech. - Yosi Mass; Slava Shechtman; Moran Mordechay; Ron Hoory; Oren Sar Shalom; Guy Lev; David Konopnicki (INTERSPEECH, 2018)

Rank and rate: multi-task learning for recommender systems. - Guy Hadash; Oren Sar Shalom; Rita Osadchy (RecSys, 2018)

DLRS 2018: third workshop on deep learning for recommender systems. - Balázs Hidasi; Alexandros Karatzoglou; Oren Sar Shalom; Bracha Shapira; Domonkos Tikk; Flavian Vasile; Sander Dieleman (RecSys, 2018)

Privacy-Adversarial User Representations in Recommender Systems. - Yehezkel S. Resheff; Yanai Elazar; Moni Shahar; Oren Sar Shalom (CoRR, 2018)

Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. - Yehezkel S. Resheff; Yanai Elazar; Moni Shahar; Oren Sar Shalom (ICPRAM, 2019)

Towards More Impactful Recommender Systems Research. - Dietmar Jannach; Oren Sar Shalom; Joseph A. Konstan (ImpactRS@RecSys, 2019)

First workshop on the impact of recommender systems at ACM RecSys 2019. - Oren Sar Shalom; Dietmar Jannach; Ido Guy (RecSys, 2019)

A generative model for review-based recommendations. - Oren Sar Shalom; Guy Uziel; Amir Kantor (RecSys, 2019)

Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. - Shir Frumerman; Guy Shani; Bracha Shapira; Oren Sar Shalom (UMAP, 2019)

Distant Supervision for Keyphrase Extraction using Search Queries. - Oren Sar Shalom; Hezi Resheff; Alex Zhicharevich; Rami Cohen (BigDataService, 2020)

Learning Question Similarity in CQA from References and Query-logs. - Alex Zhicharevich; Moni Shahar; Oren Sar Shalom (ICPRAM, 2020)

Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. - Oren Sar Shalom; Dietmar Jannach; Joseph A. Konstan (RecSys, 2020)

A Black-Box Attack Model for Visually-Aware Recommender Systems. - Rami Cohen; Oren Sar Shalom; Dietmar Jannach; Amihood Amir (WSDM, 2021)

Collaborative Image Understanding. - Koby Bibas; Oren Sar Shalom; Dietmar Jannach (CIKM, 2022)

BRUCE: Bundle Recommendation Using Contextualized item Embeddings. - Tzoof Avny Brosh; Amit Livne; Oren Sar Shalom; Bracha Shapira; Mark Last (RecSys, 2022)

Investigating the Value of Subtitles for Improved Movie Recommendations. - Sagi Eden; Amit Livne; Oren Sar Shalom; Bracha Shapira; Dietmar Jannach (UMAP, 2022)

Natural Language Processing for Recommender Systems. - Oren Sar Shalom; Haggai Roitman; Pigi Kouki (Recommender Systems Handbook, 2022)

Semi-supervised Adversarial Learning for Complementary Item Recommendation. - Koby Bibas; Oren Sar Shalom; Dietmar Jannach (WWW, 2023)

Addressing Multiple Hypothesis Bias in CTR Prediction for Ad Selection. - Oren Sar Shalom; Neil Daftary (RecSys, 2025)