| Exploiting temporal influence in online recommendation R Pálovics, AA Benczúr, L Kocsis, T Kiss, E Frigó Proceedings of the 8th ACM Conference on Recommender Systems, 273-280, 2014 | 73 | 2014 |
| Location-aware online learning for top-k recommendation R Pálovics, P Szalai, J Pap, E Frigó, L Kocsis, AA Benczúr Pervasive and mobile computing 38, 490-504, 2017 | 19 | 2017 |
| Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, AA Benczúr, L Kocsis | 13 | 2017 |
| Solving RecSys challenge 2015 by linear models, gradient boosted trees and metric optimization R Pálovics, P Szalai, L Kocsis, A Szabó, E Frigó, J Pap, ZK Nyikes, ... Proceedings of the 2015 International ACM Recommender Systems Challenge, 1-4, 2015 | 8 | 2015 |
| Location-Aware Online Learning for Top-k Hashtag Recommendation. R Pálovics, P Szalai, L Kocsis, J Pap, E Frigó, AA Benczúr LocalRec@ RecSys, 36-39, 2015 | 7 | 2015 |
| Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation E Frigó, R Pálovics, D Kelen, L Kocsis, AA Benczúr | 5 | 2017 |
| Online convex combination of ranking models E Frigó, L Kocsis User Modeling and User-Adapted Interaction 32 (4), 649-683, 2022 | 4 | 2022 |
| Online ranking combination E Frigó, L Kocsis Proceedings of the 13th ACM Conference on Recommender Systems, 12-19, 2019 | 1 | 2019 |
Robert PalovicsInstructor, Stanford University在 stanford.edu 的电子邮件经过验证
