| 2019 | A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations. | Edward C. Malthouse, Khadija Ali Vakeel, Yasaman Kamyab Hessary, Robin Burke, Morana Fuduric |
| 2019 | Pick & merge: an efficient item filtering scheme for Windows store recommendations. | Adi Makmal, Jonathan Ephrath, Hilik Berezin, Liron I. Allerhand, Nir Nice, Noam Koenigstein |
| 2019 | LORE: a large-scale offer recommendation engine with eligibility and capacity constraints. | Rahul Makhijani, Shreya Chakrabarti, Dale Struble, Yi Liu |
| 2019 | The trinity of luxury fashion recommendations: data, experts and experimentation. | Ana Rita Magalhes |
| 2019 | Compositional network embedding for link prediction. | Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang |
| 2019 | Future of in-vehicle recommendation systems @ Bosch. | Juergen Luettin, Susanne Rothermel, Mark Andrew |
| 2019 | Performance comparison of neural and non-neural approaches to session-based recommendation. | Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach |
| 2019 | Learning to rank hotels for search and recommendation from session-based interaction logs and meta data. | Malte Ludewig, Dietmar Jannach |
| 2019 | User-centric evaluation of session-based recommendations for an automated radio station. | Malte Ludewig, Dietmar Jannach |
| 2019 | Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce. | Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong |
| 2019 | Personalized Push Notifications for News Recommendation. | Babak Loni, Anne Schuth, Lucas van de Haas, Jeroen Jansze, Vasco Visser, Marlies van der Wees |
| 2019 | Measuring the Impact of Recommender Systems - A Position Paper on Item Consumption in User Studies. | Benedikt Loepp, Jrgen Ziegler |
| 2019 | Towards interactive recommending in model-based collaborative filtering systems. | Benedikt Loepp, Jrgen Ziegler |
| 2019 | Deep generative ranking for personalized recommendation. | Huafeng Liu, Jingxuan Wen, Liping Jing, Jian Yu |
| 2019 | Personalized fairness-aware re-ranking for microlending. | Weiwen Liu, Jun Guo, Nasim Sonboli, Robin Burke, Shengyu Zhang |
| 2019 | Latent multi-criteria ratings for recommendations. | Pan Li, Alexander Tuzhilin |
| 2019 | Latent Modeling of Unexpectedness for Recommendations. | Pan Li, Alexander Tuzhilin |
| 2019 | Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. | Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke |
| 2019 | Negative-Aware Collaborative Filtering. | Sheng-Chieh Lin, Yu-Neng Chuang, Sheng-Fang Yang, Ming-Feng Tsai, Chuan-Ju Wang |
| 2019 | A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. | Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang |
| 2019 | Search-Based Serving Architecture of Embeddings-Based Recommendations. | Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel |
| 2019 | Recommender system for developing new preferences and goals. | Yu Liang |
| 2019 | The Impact of Recommenders on Scientific Article Discovery: The Case of Mendeley Suggest. | Minh Le, Subhradeep Kayal, Andrew Douglas |
| 2019 | When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction. | Gal Lavee, Noam Koenigstein, Oren Barkan |
| 2019 | Up Close, but not too Personal: Hypotargeting for Recommender Systems. | Martha A. Larson, Manel Slokom |