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Erzsébet Frigó

Research associate
Email
@email
Phone
+3612796287
Address
H-1111 Budapest, Lágymányosi u. 11.
Room number
L 104

Artificial Intelligence Laboratory

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Important publications

2022

USER MODELING AND USER-ADAPTED INTERACTION, 32, pp. 649-683. ISSN 0924-1868

Online convex combination of ranking models

Authors
Frigó, Erzsébet
Kocsis, Levente
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2019

In: RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems ACM Press, New York (NY), pp. 12-19.

Online ranking combination

Authors
Frigó, Erzsébet
Kocsis, Levente
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2017

In: 2017 Poster Track of the 11th ACM Conference on Recommender Systems, Poster-Recsys 2017, 2017.08.28-2017.08.28, Como, Italy.

Alpenglow: Open source recommender framework with time-Aware learning and evaluation

Authors
Frigó, Erzsébet
Pálovics, Róbert
Kelen, Domokos
Kocsis, Levente
Benczúr, András
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2017

In: 1st Workshop on Temporal Reasoning in Recommender Systems, RecTemp 2017, 2017.08.27-2017.08.31, Como, Italy.

Online ranking prediction in non-stationary environments

Authors
Frigó, Erzsébet
Pálovics, Róbert
Kelen, Domokos
Kocsis, Levente
Benczúr, András
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2017

PERVASIVE AND MOBILE COMPUTING, 38 (2)., pp. 490-504. ISSN 1574-1192

Location-aware online learning for top-k recommendation

Authors
Pálovics, Róbert
Szalai, Péter
Pap, Júlia
Frigó, Erzsébet
Kocsis, Levente
Benczúr, András
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All publications