Node embeddings in dynamic graphs F Béres, DM Kelen, R Pálovics, AA Benczúr Applied Network Science 4 (1), 1-25, 2019 | 20 | 2019 |
Reading news with a purpose: Explaining user profiles for self-actualization E Sullivan, D Bountouridis, J Harambam, S Najafian, F Loecherbach, ... Adjunct Publication of the 27th Conference on User Modeling, Adaptation and …, 2019 | 15 | 2019 |
Online ranking prediction in non-stationary environments E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017 | 12 | 2017 |
Efficient K-NN for playlist continuation DM Kelen, D Berecz, F Béres, AA Benczúr Proceedings of the ACM Recommender Systems Challenge 2018, 1-4, 2018 | 8 | 2018 |
Alpenglow: Open source recommender framework with time-aware learning and evaluation E Frigó, R Pálovics, D Kelen, L Kocsis, A Benczúr CEUR-WS. org, 2017 | 5 | 2017 |
Tutorial on open source online learning recommenders R Pálovics, D Kelen, AA Benczúr Proceedings of the Eleventh ACM Conference on Recommender Systems, 400-401, 2017 | 4 | 2017 |
Sequential skip prediction using deep learning and ensembles F Béres, DM Kelen, A Benczúr ACM Press, 2019 | 2 | 2019 |
Session Recommendation via Recurrent Neural Networks over Fisher Embedding Vectors D Kelen, B Daróczy, F Ayala-Gómez, A Ország, A Benczúr Sensors 19 (16), 3498, 2019 | 1 | 2019 |
A probabilistic perspective on nearest neighbor for implicit recommendation DM Kelen, AA Benczúr 2021 International Conference on Data Mining Workshops (ICDMW), 27-35, 2021 | | 2021 |
Tutorial on graph stream analytics A Benczúr, F Béres, D Kelen, R Pálovics Proceedings of the 15th ACM International Conference on Distributed and …, 2021 | | 2021 |
Reading news with a purpose: Explaining user profiles for self-actualization EE Mumm, D Bountouridis, JJ Harambam, S Najafian, F Loecherbach, ... Association for Computing Machinery (ACM), 2019 | | 2019 |
Online Recommendation Systems DM Kelen | | |