Róbert Pálovics

According to our database1, Róbert Pálovics authored at least 19 papers between 2013 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Reinforcement Learning, Unsupervised Methods, and Concept Drift in Stream Learning.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Recommender Systems Over Data Streams.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online Machine Learning in Big Data Streams: Overview.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Online Machine Learning Algorithms over Data Streams.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Node embeddings in dynamic graphs.
Applied Network Science, 2019

2018
Temporal walk based centrality metric for graph streams.
Applied Network Science, 2018

2017
Location-aware online learning for top-k recommendation.
Pervasive and Mobile Computing, 2017

Raising Graphs From Randomness to Reveal Information Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Tutorial on Open Source Online Learning Recommenders.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Online Ranking Prediction in Non-stationary Environments.
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.
Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

2016
Towards Streamlined Big Data Analytics.
ERCIM News, 2016

RecSys Challenge 2016: Job Recommendations.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
Text Classification Kernels for Quality Prediction over the C3 Data Set.
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.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

Location-Aware Online Learning for Top-k Hashtag Recommendation.
Proceedings of the Workshop on Location-Aware Recommendations, 2015

Predicting User-specific Temporal Retweet Count Based on Network and Content Information.
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.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
Temporal influence over the Last.fm social network.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013


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