Erzsébet Frigó

According to our database, Erzsébet Frigó authored at least 8 papers between 2014 and 2022.

Collaborative distances:

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

2022

Online convex combination of ranking models.

Erzsébet Frigó, Levente Kocsis

User Model. User Adapt. Interact., 2022

2019

Online ranking combination.

Erzsébet Frigó, Levente Kocsis

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

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

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

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