| 2019 | Recommendations for Long-Term Profit Optimization. | Patrick Hosein, Inzamam Rahaman, Keanu Nichols, Kiran Maharaj |
| 2019 | Rude awakenings from behaviourist dreams. Methodological integrity and the GDPR. | Mireille Hildebrandt |
| 2019 | User-centered evaluation of strategies for recommending sequences of points of interest to groups. | Daniel Herzog, Wolfgang Wrndl |
| 2019 | Investigating Mechanisms for User Integration in the Activity Goal Recommendation Process by Interface Design. | Katja Herrmanny, Simone Lppenberg, Michael Schwarz |
| 2019 | Analysing Recommender Systems Impact on Users' Choices. | Naieme Hazrati, Mehdi Elahi, Francesco Ricci |
| 2019 | BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation? | Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, Jran Beel |
| 2019 | Whose data traces, whose voices? Inequality in online participation and why it matters for recommendation systems research. | Eszter Hargittai |
| 2019 | Designing for the better by taking users into account: a qualitative evaluation of user control mechanisms in (news) recommender systems. | Jaron Harambam, Dimitrios Bountouridis, Mykola Makhortykh, Joris Van Hoboken |
| 2019 | Context-Regularized Neural Collaborative Filtering for Game App Recommendation. | Shonosuke Harada, Kazuki Taniguchi, Makoto Yamada, Hisashi Kashima |
| 2019 | Giveme5W1H: A Universal System for Extracting Main Events from News Articles. | Felix Hamborg, Corinna Breitinger, Bela Gipp |
| 2019 | How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems. | Sophia Hadash, Yu Liang, Martijn C. Willemsen |
| 2019 | Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems. | Francisco Gutirrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert |
| 2019 | PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. | Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang |
| 2019 | Microsoft recommenders: tools to accelerate developing recommender systems. | Scott Graham, Jun-Ki Min, Tao Wu |
| 2019 | Bandit algorithms in recommender systems. | Dorota Glowacka |
| 2019 | Does the User Have A Theory of the Recommender? A Pilot Study. | Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher |
| 2019 | An attentive RNN model for session-based and context-aware recommendations: a solution to the RecSys challenge 2019. | Ricardo Gama, Hugo L. Fernandes |
| 2019 | A-HA: a hybrid approach for hotel recommendation. | Kung-Hsiang Huang, Yi-Fu Fu, Yi-Ting Lee, Tzong-Hann Lee, Yao-Chun Chan, Yi-Hui Lee, Shou-De Lin |
| 2019 | HybridSVD: when collaborative information is not enough. | Evgeny Frolov, Ivan V. Oseledets |
| 2019 | Online ranking combination. | Erzsbet Frig, Levente Kocsis |
| 2019 | Find my next job: labor market recommendations using administrative big data. | Snorre S. Frid-Nielsen |
| 2019 | Music cold-start and long-tail recommendation: bias in deep representations. | Andres Ferraro |
| 2019 | Deep social collaborative filtering. | Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li |
| 2019 | Fourth international workshop on health recommender systems (HealthRecSys 2019). | David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schfer, Helma Torkamaan, Christoph Trattner |
| 2019 | Variational low rank multinomials for collaborative filtering with side-information. | Ehtsham Elahi, Wei Wang, Dave Ray, Aish Fenton, Tony Jebara |