| 2019 | Session-based item recommendation with pairwise features. | Zhe Wang, Yangbo Gao, Huan Chen, Peng Yan |
| 2019 | Efficient privacy-preserving recommendations based on social graphs. | Aidmar Wainakh, Tim Grube, Jrg Daubert, Max Mhlhuser |
| 2019 | Robust contextual models for in-session personalization. | Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Prez, Ilya Stanevich, Yichao Lu |
| 2019 | ORSUM 2019 2nd workshop on online recommender systems and user modeling. | Joo Vinagre, Alpio Mrio Jorge, Albert Bifet, Marie Al-Ghossein |
| 2019 | Enriched Network Embeddings for News Recommendation. | Janu Verma |
| 2019 | DualDiv: diversifying items and explanation styles in explainable hybrid recommendation. | Kosetsu Tsukuda, Masataka Goto |
| 2019 | Bias Disparity in Recommendation Systems. | Virginia Tsintzou, Evaggelia Pitoura, Panayiotis Tsaparas |
| 2019 | FineNet: a joint convolutional and recurrent neural network model to forecast and recommend anomalous financial items. | Yu-Che Tsai, Chih-Yao Chen, Shao-Lun Ma, Pei-Chi Wang, You-Jia Chen, Yu-Chieh Chang, Cheng-Te Li |
| 2019 | An Evaluation of Recommendation Algorithms for Online Recipe Portals. | Christoph Trattner, David Elsweiler |
| 2019 | Online Food Recommendations: A Complex Problem? | Christoph Trattner |
| 2019 | How can they know that?: a study of factors affecting the creepiness of recommendations. | Helma Torkamaan, Catalin-Mihai Barbu, Jrgen Ziegler |
| 2019 | ACM RecSys'19 late-breaking results (posters). | Marko Tkalcic, Maria Soledad Pera |
| 2019 | Relaxed softmax for PU learning. | Ugo Tanielian, Flavian Vasile |
| 2019 | BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. | Christopher Strucks, Manel Slokom, Martha A. Larson |
| 2019 | RecSys Challenges in achieving sustainable eating habits. | Alain Starke |
| 2019 | The Effectiveness of Advice Solicitation and Social Peers in an Energy Recommender System. | Alain Starke |
| 2019 | Public Service Media, Diversity and Algorithmic Recommendation: Tensions between Editorial Principles and Algorithms in European PSM Organizations. | Jannick Kirk Srensen |
| 2019 | Concept to code: deep learning for multitask recommendation. | Omprakash Sonie |
| 2019 | Does the Bubble Go Beyond? An Exploration of the Urban Filter Bubble. | Annelien Smets, Eladio Montero, Pieter Ballon |
| 2019 | Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. | Manel Slokom, Martha A. Larson, Alan Hanjalic |
| 2019 | Utilizing Collaborative Filtering to Recommend Opportunities for Positive Affect in daily life. | Panote Siriaraya, Kenta Suzuki, Shinsuke Nakajima |
| 2019 | PyRecGym: a reinforcement learning gym for recommender systems. | Bichen Shi, Makbule Gulcin Ozsoy, Neil Hurley, Barry Smyth, Elias Z. Tragos, James Geraci, Aonghus Lawlor |
| 2019 | A deep learning system for predicting size and fit in fashion e-commerce. | Abdul-Saboor Sheikh, Romain Guigours, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann |
| 2019 | A generative model for review-based recommendations. | Oren Sar Shalom, Guy Uziel, Amir Kantor |
| 2019 | First workshop on the impact of recommender systems at ACM RecSys 2019. | Oren Sar Shalom, Dietmar Jannach, Ido Guy |