Temporal influence over the Last.fm social network. - Róbert Pálovics; András A. Benczúr (ASONAM, 2013)

Temporal prediction of retweet count. - Róbert Pálovics; Bálint Daróczy; András A. Benczúr (CogInfoCom, 2013)

Exploiting temporal influence in online recommendation. - Róbert Pálovics; András A. Benczúr; Levente Kocsis; Tamás Kiss; Erzsébet Frigó (RecSys, 2014)

Predicting User-specific Temporal Retweet Count Based on Network and Content Information. - Bálint Daróczy; Róbert Pálovics; Vilmos Wieszner; Richárd Farkas; András A. Benczúr (INRA@RecSys, 2015)

Location-Aware Online Learning for Top-k Hashtag Recommendation. - Róbert Pálovics; Peter Szalai; Levente Kocsis; Júlia Pap; Erzsébet Frigó; András A. Benczúr (LocalRec@RecSys, 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 (RecSys Challenge, 2015)

Text Classification Kernels for Quality Prediction over the C3 Data Set. - Bálint Daróczy; Dávid Siklósi; Róbert Pálovics; András A. Benczúr (WWW (Companion Volume), 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)

RecSys Challenge 2016: Job Recommendations. - Fabian Abel; András A. Benczúr; Daniel Kohlsdorf; Martha A. Larson; Róbert Pálovics (RecSys, 2016)

Towards Streamlined Big Data Analytics. - András A. Benczúr; Róbert Pálovics; Márton Balassi; Volker Markl; Tilmann Rabl; Juan Soto 001; Björn Hovstadius; Jim Dowling; Seif Haridi (ERCIM News, 2016)

Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. - Erzsébet Frigó; Róbert Pálovics; Domokos Kelen; Levente Kocsis; András A. Benczúr (RecSys Posters, 2017)

Online Ranking Prediction in Non-stationary Environments. - Erzsébet Frigó; Róbert Pálovics; Domokos Kelen; Levente Kocsis; András A. Benczúr (RecTemp@RecSys, 2017)

Tutorial on Open Source Online Learning Recommenders. - Róbert Pálovics; Domokos Kelen; András A. Benczúr (RecSys, 2017)

Raising Graphs From Randomness to Reveal Information Networks. - Róbert Pálovics; András A. Benczúr (WSDM, 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)

Temporal walk based centrality metric for graph streams. - Ferenc Béres; Róbert Pálovics; Anna Oláh; András A. Benczúr (Appl. Netw. Sci., 2018)

Online Machine Learning in Big Data Streams. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (CoRR, 2018)

Node embeddings in dynamic graphs. - Ferenc Béres; Domokos M. Kelen; Róbert Pálovics; András A. Benczúr (Appl. Netw. Sci., 2019)

Online Machine Learning Algorithms over Data Streams. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Online Machine Learning in Big Data Streams: Overview. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Recommender Systems Over Data Streams. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning. - András A. Benczúr; Levente Kocsis; Róbert Pálovics (Encyclopedia of Big Data Technologies, 2019)

Tutorial on graph stream analytics. - András Benczúr; Ferenc Béres; Domokos Kelen; Róbert Pálovics (DEBS, 2021)

Companies under stress: the impact of shocks on the production network. - Róbert Pálovics; Primoz Dolenc; Jure Leskovec (EPJ Data Sci., 2021)