Oren Sar Shalom

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 31

Top Topics

Collaborative Filtering

Recommender Systems

Query Performance Prediction

Top Venues

Publications

Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Semi-supervised Adversarial Learning for Complementary Item Recommendation. WWW (2023)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Semi-supervised Adversarial Learning for Complementary Item Recommendation. CoRR (2023)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Collaborative Image Understanding. CIKM (2022)
Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach
Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP (2022)
Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last
BRUCE: Bundle Recommendation Using Contextualized item Embeddings. RecSys (2022)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Collaborative Image Understanding. CoRR (2022)
Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir
A Black-Box Attack Model for Visually-Aware Recommender Systems. WSDM (2021)
Oren Sar Shalom, Hezi Resheff, Alex Zhicharevich, Rami Cohen
Distant Supervision for Keyphrase Extraction using Search Queries. BigDataService (2020)
Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir
A Black-Box Attack Model for Visually-Aware Recommender Systems. CoRR (2020)
Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan
Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. RecSys (2020)
Alex Zhicharevich, Moni Shahar, Oren Sar Shalom
Learning Question Similarity in CQA from References and Query-logs. ICPRAM (2020)
Oren Sar Shalom, Guy Uziel, Amir Kantor
A generative model for review-based recommendations. RecSys (2019)
Shir Frumerman, Guy Shani, Bracha Shapira, Oren Sar Shalom
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. UMAP (2019)
Oren Sar Shalom, Dietmar Jannach, Ido Guy
First workshop on the impact of recommender systems at ACM RecSys 2019. RecSys (2019)
Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan
Towards More Impactful Recommender Systems Research. ImpactRS@RecSys (2019)
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM (2019)
Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor
A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. ICTIR (2018)
Haggai Roitman, Ella Rabinovich, Oren Sar Shalom
As Stable As You Are: Re-ranking Search Results using Query-Drift Analysis. HT (2018)
Yosi Mass, Slava Shechtman, Moran Mordechay, Ron Hoory, Oren Sar Shalom, Guy Lev, David Konopnicki
Word Emphasis Prediction for Expressive Text to Speech. INTERSPEECH (2018)
Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
DLRS 2018: third workshop on deep learning for recommender systems. RecSys (2018)
Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
Understanding Convolutional Neural Networks for Text Classification. BlackboxNLP@EMNLP (2018)
Guy Hadash, Oren Sar Shalom, Rita Osadchy
Rank and rate: multi-task learning for recommender systems. RecSys (2018)
Oren Sar Shalom, Haggai Roitman, Amihood Amir, Alexandros Karatzoglou
Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. HT (2018)
Alon Jacovi, Oren Sar Shalom, Yoav Goldberg
Understanding Convolutional Neural Networks for Text Classification. CoRR (2018)
Guy Hadash, Oren Sar Shalom, Rita Osadchy
Rank and Rate: Multi-task Learning for Recommender Systems. CoRR (2018)
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
Privacy-Adversarial User Representations in Recommender Systems. CoRR (2018)
Haggai Roitman, Shai Erera, Oren Sar Shalom, Bar Weiner
Enhanced Mean Retrieval Score Estimation for Query Performance Prediction. ICTIR (2017)
Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys (2017)
Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amihood Amir
A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. ICTIR (2017)
Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan
Beyond Collaborative Filtering: The List Recommendation Problem. WWW (2016)
Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys (2016)
Amihood Amir, Alberto Apostolico, Gad M. Landau, Ely Porat, Oren Sar Shalom
A PTAS for the Square Tiling Problem. Theor. Comput. Sci. 562 (2015)
Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir
Data Quality Matters in Recommender Systems. RecSys (2015)
Amihood Amir, Jessica Ficler, Liam Roditty, Oren Sar Shalom
On the Efficiency of the Hamming C-Centerstring Problems. CPM (2014)
Amihood Amir, Jessica Ficler, Robert Krauthgamer, Liam Roditty, Oren Sar Shalom
Multiply Balanced k -Partitioning. LATIN (2014)
Amihood Amir, Alberto Apostolico, Gad M. Landau, Oren Sar Shalom
A PTAS for the Square Tiling Problem. SPIRE (2010)