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Róbert Pálovics

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2018
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Ferenc Béres, Róbert Pálovics, Anna Oláh, András A. Benczúr:
Temporal walk based centrality metric for graph streams. Applied Network Science 3(1): 32:1-32:26 (2018)
[i5]
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  - journals/corr/abs-1802-05872
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András A. Benczúr, Levente Kocsis, Róbert Pálovics:
Online Machine Learning in Big Data Streams. CoRR abs/1802.05872 (2018)
2017
[j2]
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Róbert Pálovics, Peter Szalai, Júlia Pap, Erzsébet Frigó, Levente Kocsis, András A. Benczúr:
Location-aware online learning for top-k recommendation. Pervasive and Mobile Computing 38: 490-504 (2017)
[c11]
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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
[c10]
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Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Online Ranking Prediction in Non-stationary Environments. RecTemp@RecSys 2017: 28-34
[c9]
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Róbert Pálovics, Domokos Kelen, András A. Benczúr:
Tutorial on Open Source Online Learning Recommenders. RecSys 2017: 400-401
[c8]
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Róbert Pálovics, András A. Benczúr:
Raising Graphs From Randomness to Reveal Information Networks. WSDM 2017: 23-32
[i4]
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Róbert Pálovics, András A. Benczúr:
Raising Graphs From Randomness to Reveal Information Networks. CoRR abs/1701.00406 (2017)
2016
[c7]
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Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha Larson, Róbert Pálovics:
RecSys Challenge 2016: Job Recommendations. RecSys 2016: 425-426
[e1]
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Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha 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]
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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]
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Róbert Pálovics, András A. Benczúr:
Temporal influence over the Last.fm social network. Social Netw. Analys. Mining 5(1): 4:1-4:12 (2015)
[c6]
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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
[c5]
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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
[c4]
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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
[c3]
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  - conf/www/DaroczySPB15
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Bálint Daróczy, David Siklois, Róbert Pálovics, András A. Benczúr:
Text Classification Kernels for Quality Prediction over the C3 Data Set. WWW (Companion Volume) 2015: 1441-1446
[i2]
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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
[c2]
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  - conf/recsys/PalovicsBKKF14
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Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó:
Exploiting temporal influence in online recommendation. RecSys 2014: 273-280
2013
[c1]
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Róbert Pálovics, András A. Benczúr:
Temporal influence over the Last.fm social network. ASONAM 2013: 486-493
[i1]
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Róbert Pálovics, András A. Benczúr:
Temporal influence over the Last.fm social network. CoRR abs/1307.7142 (2013)

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