| 150 Successful Machine Learning Models: 6 Lessons Learned at Booking.com L Bernardi, T Mavridis, P Estevez Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 58 | 2019 |
| The continuous cold start problem in e-commerce recommender systems L Bernardi, J Kamps, J Kiseleva, MJI Müller arXiv preprint arXiv:1508.01177, 2015 | 50 | 2015 |
| Where to go on your next trip? Optimizing travel destinations based on user preferences J Kiseleva, MJI Mueller, L Bernardi, C Davis, I Kovacek, ... Proceedings of the 38th International ACM SIGIR Conference on Research and …, 2015 | 23 | 2015 |
| Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints D Goldenberg, J Albert, L Bernardi, P Estevez https://dl.acm.org/doi/10.1145/3383313.3412215, 2020 | 12 | 2020 |
| Beyond movie recommendations: Solving the continuous cold start problem in e-commerce recommendations J Kiseleva, A Tuzhilin, J Kamps, MJI Mueller, L Bernardi, C Davis, ... arXiv preprint arXiv:1607.07904, 2016 | 8 | 2016 |
| Recommending Accommodation Filters with Online Learning. L Bernardi, P Estevez, M Eidis, E Osama ORSUM@ RecSys, 2020 | 6 | 2020 |
| Recommender systems for personalized user experience: lessons learned at Booking. com I Kangas, M Schwoerer, LJ Bernardi Fifteenth ACM Conference on Recommender Systems, 583-586, 2021 | 3 | 2021 |
| Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals A Kornilova, L Bernardi Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 2 | 2021 |
| Machine Learning in production: the Booking.com approach L Bernardi https://booking.ai/https-booking-ai-machine-learning-production-3ee8fe943c70, 2019 | 2 | 2019 |
| Don’t be tricked by the Hashing Trick L Bernardi https://booking.ai/dont-be-tricked-by-the-hashing-trick-192a6aae3087, 2018 | 2 | 2018 |
| Simulations in Recommender Systems: An industry perspective L Bernardi, S Batra, CA Bruscantini arXiv preprint arXiv:2109.06723, 2021 | 1 | 2021 |
| Machine learning for fraud detection in e-Commerce: A research agenda N Tax, KJ Vries, M Jong, N Dosoula, B Akker, J Smith, O Thuong, ... International Workshop on Deployable Machine Learning for Security Defense …, 2021 | 1 | 2021 |
| Scalable User Interface Optimization Using Combinatorial Bandits I Kangas, M Schwoerer, L Bernardi Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | | 2022 |
| Machine Learning for Fraud Detection in E-Commerce: A Research Agenda B van den Akker, J Smith, O Thuong, L Bernardi Deployable Machine Learning for Security Defense: Second International …, 2021 | | 2021 |
| Learning to Match T Mavridis, P Estevez, L Bernardi arXiv preprint arXiv:1802.03102, 2018 | | 2018 |
| k-Nearest Neighbours: From slow to fast thanks to maths L Bernardi https://booking.ai/k-nearest-neighbours-from-slow-to-fast-thanks-to-maths …, 2017 | | 2017 |
| Random Projections Design L Bernardi https://researchdespegar.wordpress.com/2014/04/24/random-projections-design/, 2014 | | 2014 |
| Capturing Meaning with Random Projections L Bernardi https://researchdespegar.wordpress.com/2013/10/10/capturing-meaning-with …, 2013 | | 2013 |
| I Know What You Did Next Summer: Challenges in Travel Destination Recommendation D GOLDENBERG, S MIZRACHI, A HOROWITZ, PK FERRETTI, ... | | |
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