Róbert Pálovics

According to our database, Róbert Pálovics authored at least 24 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Companies under stress: the impact of shocks on the production network.

Róbert Pálovics, Primoz Dolenc, Jure Leskovec

EPJ Data Sci., 2021

Tutorial on graph stream analytics.

András Benczúr, Ferenc Béres, Domokos Kelen, Róbert Pálovics

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2019

Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Recommender Systems Over Data Streams.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online Machine Learning in Big Data Streams: Overview.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online Machine Learning Algorithms over Data Streams.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

Proceedings of the Encyclopedia of Big Data Technologies., 2019

Node embeddings in dynamic graphs.

Ferenc Béres, Domokos M. Kelen, Róbert Pálovics, András A. Benczúr

Appl. Netw. Sci., 2019

2018

Online Machine Learning in Big Data Streams.

András A. Benczúr, Levente Kocsis, Róbert Pálovics

CoRR, 2018

Temporal walk based centrality metric for graph streams.

Ferenc Béres, Róbert Pálovics, Anna Oláh, András A. Benczúr

Appl. Netw. Sci., 2018

2017

Location-aware online learning for top-k recommendation.

Róbert Pálovics, Peter Szalai, Júlia Pap, Erzsébet Frigó, Levente Kocsis, András A. Benczúr

Pervasive Mob. Comput., 2017

Raising Graphs From Randomness to Reveal Information Networks.

Róbert Pálovics, András A. Benczúr

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Tutorial on Open Source Online Learning Recommenders.

Róbert Pálovics, Domokos Kelen, András A. Benczúr

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Online Ranking Prediction in Non-stationary Environments.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Proceedings of the 1st Workshop on Temporal Reasoning in Recommender Systems co-located with 11th International Conference on Recommender Systems (RecSys 2017), 2017

Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

2016

Towards Streamlined Big Data Analytics.

András A. Benczúr, Róbert Pálovics, Márton Balassi, Volker Markl, Tilmann Rabl, Juan Soto, Björn Hovstadius, Jim Dowling, Seif Haridi

ERCIM News, 2016

RecSys Challenge 2016: Job Recommendations.

Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Temporal influence over the Last.fm social network.

Róbert Pálovics, András A. Benczúr

Soc. Netw. Anal. Min., 2015

Statistical analysis of NOMAO customer votes for spots of France.

Róbert Pálovics, Bálint Daróczy, András A. Benczúr, Júlia Pap, Leonardo Ermann, Samuel Phan, Alexei Chepelianskii, Dima Shepelyansky

CoRR, 2015

Text Classification Kernels for Quality Prediction over the C3 Data Set.

Bálint Daróczy, Dávid Siklósi, Róbert Pálovics, András A. Benczúr

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization.

Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr

Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Location-Aware Online Learning for Top-k Hashtag Recommendation.

Róbert Pálovics, Peter Szalai, Levente Kocsis, Júlia Pap, Erzsébet Frigó, András A. Benczúr

Proceedings of the Workshop on Location-Aware Recommendations, 2015

Predicting User-specific Temporal Retweet Count Based on Network and Content Information.

Bálint Daróczy, Róbert Pálovics, Vilmos Wieszner, Richárd Farkas, András A. Benczúr

Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

2014

Exploiting temporal influence in online recommendation.

Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013

Temporal prediction of retweet count.

Róbert Pálovics, Bálint Daróczy, András A. Benczúr

Proceedings of the IEEE 4th International Conference on Cognitive Infocommunications, 2013