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Róbert Pálovics
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2020 – today
- 2021
- [j5]Róbert Pálovics
, Primoz Dolenc, Jure Leskovec
:
Companies under stress: the impact of shocks on the production network. EPJ Data Sci. 10(1): 57 (2021) - [c13]András Benczúr, Ferenc Béres
, Domokos Kelen, Róbert Pálovics:
Tutorial on graph stream analytics. DEBS 2021: 168-171
2010 – 2019
- 2019
- [j4]Ferenc Béres
, Domokos M. Kelen, Róbert Pálovics, András A. Benczúr:
Node embeddings in dynamic graphs. Appl. Netw. Sci. 4(1): 64:1-64:25 (2019) - [r4]András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning Algorithms over Data Streams. Encyclopedia of Big Data Technologies 2019 - [r3]András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning in Big Data Streams: Overview. Encyclopedia of Big Data Technologies 2019 - [r2]András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Recommender Systems Over Data Streams. Encyclopedia of Big Data Technologies 2019 - [r1]András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning. Encyclopedia of Big Data Technologies 2019 - 2018
- [j3]Ferenc Béres
, Róbert Pálovics, Anna Oláh, András A. Benczúr:
Temporal walk based centrality metric for graph streams. Appl. Netw. Sci. 3(1): 32:1-32:26 (2018) - [i5]András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning in Big Data Streams. CoRR abs/1802.05872 (2018) - 2017
- [j2]Róbert Pálovics, Peter Szalai, Júlia Pap, Erzsébet Frigó, Levente Kocsis, András A. Benczúr:
Location-aware online learning for top-k recommendation. Pervasive Mob. Comput. 38: 490-504 (2017) - [c12]Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. RecSys Posters 2017 - [c11]Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Online Ranking Prediction in Non-stationary Environments. RecTemp@RecSys 2017: 28-34 - [c10]Róbert Pálovics, Domokos Kelen, András A. Benczúr:
Tutorial on Open Source Online Learning Recommenders. RecSys 2017: 400-401 - [c9]Róbert Pálovics, András A. Benczúr:
Raising Graphs From Randomness to Reveal Information Networks. WSDM 2017: 23-32 - [i4]Róbert Pálovics, András A. Benczúr:
Raising Graphs From Randomness to Reveal Information Networks. CoRR abs/1701.00406 (2017) - 2016
- [c8]Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics:
RecSys Challenge 2016: Job Recommendations. RecSys 2016: 425-426 - [e1]Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics:
Proceedings of the 2016 Recommender Systems Challenge, RecSys Challenge 2016, Boston, Massachusetts, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4801-0 [contents] - [i3]András A. Benczúr, Róbert Pálovics, Márton Balassi, Volker Markl, Tilmann Rabl, Juan Soto, Björn Hovstadius, Jim Dowling, Seif Haridi:
Towards Streamlined Big Data Analytics. ERCIM News 2016(107) (2016) - 2015
- [j1]Róbert Pálovics, András A. Benczúr:
Temporal influence over the Last.fm social network. Soc. Netw. Anal. Min. 5(1): 4:1-4:12 (2015) - [c7]Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr:
Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization. RecSys Challenge 2015: 4:1-4:4 - [c6]Bálint Daróczy, Róbert Pálovics, Vilmos Wieszner, Richárd Farkas, András A. Benczúr:
Predicting User-specific Temporal Retweet Count Based on Network and Content Information. INRA@RecSys 2015: 6-13 - [c5]Róbert Pálovics, Peter Szalai, Levente Kocsis, Júlia Pap, Erzsébet Frigó, András A. Benczúr:
Location-Aware Online Learning for Top-k Hashtag Recommendation. LocalRec@RecSys 2015: 36-39 - [c4]Bálint Daróczy, Dávid Siklósi, Róbert Pálovics, András A. Benczúr:
Text Classification Kernels for Quality Prediction over the C3 Data Set. WWW (Companion Volume) 2015: 1441-1446 - [i2]Róbert Pálovics, Bálint Daróczy, András A. Benczúr, Júlia Pap, Leonardo Ermann, Samuel Phan, Alexei Chepelianskii, Dima Shepelyansky:
Statistical analysis of NOMAO customer votes for spots of France. CoRR abs/1505.03002 (2015) - 2014
- [c3]Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó:
Exploiting temporal influence in online recommendation. RecSys 2014: 273-280 - 2013
- [c2]Róbert Pálovics, András A. Benczúr:
Temporal influence over the Last.fm social network. ASONAM 2013: 486-493 - [c1]Róbert Pálovics, Bálint Daróczy, András A. Benczúr:
Temporal prediction of retweet count. CogInfoCom 2013: 267-270 - [i1]Róbert Pálovics, András A. Benczúr:
Temporal influence over the Last.fm social network. CoRR abs/1307.7142 (2013)
Coauthor Index
aka: András Benczúr
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