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2020 – today
- 2022
[j2]Erzsébet Frigó, Levente Kocsis
:
Online convex combination of ranking models. User Model. User Adapt. Interact. 32(4): 649-683 (2022)
2010 – 2019
- 2019
- [c6]Erzsébet Frigó, Levente Kocsis:
Online ranking combination. RecSys 2019: 12-19 - 2017
- [j1]Róbert Pálovics, Peter Szalai, Júlia Pap, Erzsébet Frigó, Levente Kocsis, András A. Benczúr:
Location-aware online learning for top-k recommendation. Pervasive Mob. Comput. 38: 490-504 (2017) - [c5]Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation. RecSys Posters 2017 - [c4]Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr:
Online Ranking Prediction in Non-stationary Environments. RecTemp@RecSys 2017: 28-34 - 2015
- [c3]Róbert Pálovics, Peter Szalai, Levente Kocsis, Adrienn Szabó, Erzsébet Frigó, Júlia Pap, Zsófia K. Nyikes, András A. Benczúr:
Solving RecSys Challenge 2015 by Linear Models, Gradient Boosted Trees and Metric Optimization. RecSys Challenge 2015: 4:1-4:4 - [c2]Róbert Pálovics, Peter Szalai, Levente Kocsis, Júlia Pap, Erzsébet Frigó, András A. Benczúr:
Location-Aware Online Learning for Top-k Hashtag Recommendation. LocalRec@RecSys 2015: 36-39 - 2014
- [c1]Róbert Pálovics, András A. Benczúr, Levente Kocsis, Tamás Kiss, Erzsébet Frigó:
Exploiting temporal influence in online recommendation. RecSys 2014: 273-280
Coauthor Index
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