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2020 – today
- 2023
[c29]Koby Bibas
, Oren Sar Shalom, Dietmar Jannach:
Semi-supervised Adversarial Learning for Complementary Item Recommendation. WWW 2023: 1804-1812- [i6]Koby Bibas, Oren Sar Shalom, Dietmar Jannach:
Semi-supervised Adversarial Learning for Complementary Item Recommendation. CoRR abs/2303.05812 (2023) - 2022
- [c28]Koby Bibas, Oren Sar Shalom, Dietmar Jannach:
Collaborative Image Understanding. CIKM 2022: 77-87 - [c27]Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last:
BRUCE: Bundle Recommendation Using Contextualized item Embeddings. RecSys 2022: 237-245 - [c26]Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach:
Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP 2022: 99-109 - [r1]Oren Sar Shalom, Haggai Roitman, Pigi Kouki:
Natural Language Processing for Recommender Systems. Recommender Systems Handbook 2022: 447-483 - [i5]Koby Bibas, Oren Sar Shalom, Dietmar Jannach:
Collaborative Image Understanding. CoRR abs/2210.11907 (2022) - 2021
- [c25]Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir:
A Black-Box Attack Model for Visually-Aware Recommender Systems. WSDM 2021: 94-102 - 2020
- [c24]Oren Sar Shalom, Hezi Resheff, Alex Zhicharevich, Rami Cohen:
Distant Supervision for Keyphrase Extraction using Search Queries. BigDataService 2020: 70-77 - [c23]Alex Zhicharevich, Moni Shahar, Oren Sar Shalom:
Learning Question Similarity in CQA from References and Query-logs. ICPRAM 2020: 342-352 - [c22]Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan:
Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. RecSys 2020: 630-631 - [e5]Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin, Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan:
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), Online, September 25, 2020. CEUR Workshop Proceedings 2697, CEUR-WS.org 2020 [contents] - [i4]Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir:
A Black-Box Attack Model for Visually-Aware Recommender Systems. CoRR abs/2011.02701 (2020)
2010 – 2019
- 2019
- [c21]Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM 2019: 476-482 - [c20]Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan:
Towards More Impactful Recommender Systems Research. ImpactRS@RecSys 2019 - [c19]Oren Sar Shalom, Guy Uziel, Amir Kantor:
A generative model for review-based recommendations. RecSys 2019: 353-357 - [c18]Oren Sar Shalom, Dietmar Jannach, Ido Guy:
First workshop on the impact of recommender systems at ACM RecSys 2019. RecSys 2019: 556-557 - [c17]Shir Frumerman, Guy Shani, Bracha Shapira, Oren Sar Shalom:
Are All Rejected Recommendations Equally Bad?: Towards Analysing Rejected Recommendations. UMAP 2019: 157-165 - [e4]Oren Sar Shalom, Dietmar Jannach, Ido Guy:
Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, ImpactRS@RecSys 2019), Copenhagen, Denmark, September 19, 2019. CEUR Workshop Proceedings 2462, CEUR-WS.org 2019 [contents] - 2018
- [c16]Alon Jacovi, Oren Sar Shalom, Yoav Goldberg:
Understanding Convolutional Neural Networks for Text Classification. BlackboxNLP@EMNLP 2018: 56-65 - [c15]Haggai Roitman, Ella Rabinovich, Oren Sar Shalom:
As Stable As You Are: Re-ranking Search Results using Query-Drift Analysis. HT 2018: 33-37 - [c14]Oren Sar Shalom, Haggai Roitman, Amihood Amir, Alexandros Karatzoglou:
Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. HT 2018: 43-51 - [c13]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: 11-18 - [c12]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: 2868-2872 - [c11]Guy Hadash, Oren Sar Shalom, Rita Osadchy:
Rank and rate: multi-task learning for recommender systems. RecSys 2018: 451-454 - [c10]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: 512-513 - [e3]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018. ACM 2018, ISBN 978-1-4503-6617-5 [contents] - [i3]Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy-Adversarial User Representations in Recommender Systems. CoRR abs/1807.03521 (2018) - [i2]Guy Hadash, Oren Sar Shalom, Rita Osadchy:
Rank and Rate: Multi-task Learning for Recommender Systems. CoRR abs/1807.11698 (2018) - [i1]Alon Jacovi, Oren Sar Shalom, Yoav Goldberg:
Understanding Convolutional Neural Networks for Text Classification. CoRR abs/1809.08037 (2018) - 2017
- [c9]Haggai Roitman, Shai Erera, Oren Sar Shalom, Bar Weiner:
Enhanced Mean Retrieval Score Estimation for Query Performance Prediction. ICTIR 2017: 35-42 - [c8]Oren Sar Shalom, Haggai Roitman, Yishay Mansour, Amihood Amir:
A User Re-Modeling Approach to Item Recommendation using Complex Usage Data. ICTIR 2017: 201-208 - [c7]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: 370-371 - [e2]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk:
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017. ACM 2017, ISBN 978-1-4503-5353-3 [contents] - 2016
- [c6]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: 415-416 - [c5]Oren Sar Shalom, Noam Koenigstein, Ulrich Paquet, Hastagiri P. Vanchinathan:
Beyond Collaborative Filtering: The List Recommendation Problem. WWW 2016: 63-72 - [e1]Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4795-2 [contents] - 2015
- [j1]Amihood Amir, Alberto Apostolico, Gad M. Landau, Ely Porat, Oren Sar Shalom:
A PTAS for the Square Tiling Problem. Theor. Comput. Sci. 562: 33-45 (2015) - [c4]Oren Sar Shalom, Shlomo Berkovsky, Royi Ronen, Elad Ziklik, Amihood Amir:
Data Quality Matters in Recommender Systems. RecSys 2015: 257-260 - 2014
- [c3]Amihood Amir, Jessica Ficler, Liam Roditty, Oren Sar Shalom:
On the Efficiency of the Hamming C-Centerstring Problems. CPM 2014: 1-10 - [c2]Amihood Amir, Jessica Ficler, Robert Krauthgamer, Liam Roditty, Oren Sar Shalom:
Multiply Balanced k -Partitioning. LATIN 2014: 586-597 - 2010
- [c1]Amihood Amir, Alberto Apostolico, Gad M. Landau, Oren Sar Shalom:
A PTAS for the Square Tiling Problem. SPIRE 2010: 118-126
Coauthor Index
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