Research & Publications
My research focuses on recommender systems, marketing data science, and user acquisition optimization, with particular emphasis on practical applications in the mobile gaming industry.
Current Research Focus
- —Marketing data science and user acquisition optimization for mobile games
- —Revenue attribution methods for iOS privacy frameworks, specifically SKAN Conversion Values
- —Marketing budget and creative optimization using machine learning techniques
Previous Research
- —Context-aware recommender systems for group decision-making
- —Doctoral research on group recommendation algorithms and knowledge graphs
List of Publications
Hallucination Level of Artificial Intelligence Whisperer: Case Speech Recognizing Pantterinousut Rap Song
Ismo Horppu, Frederick Ayala, Erlin Gulbenkoglu
arXiv preprint arXiv:2506.16174 (2025)
Show me the Money: Measuring Marketing Performance in F2P Games using Apple's App Tracking Transparency Framework
Frederick Ayala-Gómez, Ismo Horppu, Erlin Gülbenkoğlu, Vesa Siivola, Balázs Pejó
Proceedings of the ACM AdKDD Workshop 2022
Revenue attribution on iOS 14 using conversion values in f2p games
F. Ayala-Gomez, I. Horppu, E. Gulbenkoglu, V. Siivola, B. Pejó
arXiv preprint arXiv:2102.08458 (2021)
Automatic classification of games using support vector machine
Ismo Horppu, Antti Nikander, Elif Buyukcan, Jere Mäkiniemi, Amin Sorkhei, Frederick Ayala-Gómez
arXiv preprint arXiv:2105.05674 (2021)
Session recommendation via recurrent neural networks over fisher embedding vectors
D. Kelen, B. Daróczy, F. Ayala-Gómez, A. Ország, A. Benczúr
Sensors 19 (16), 3498 (2019)
Global citation recommendation using knowledge graphs
F. Ayala-Gomez, B. Daróczy, A. Benczúr, M. Mathioudakis, A. Gionis
Journal of Intelligent & Fuzzy Systems 34 (5), 3089-3100 (2018)
Top-k context-aware tour recommendations for groups
F. Ayala-Gómez, B. Keniş, P. Karagöz, A. Benczúr
Proceedings of the Mexican International Conference on Artificial Intelligence, MICAI 2018
Infrequent item-to-item recommendation via invariant random fields
B. Daróczy, F. Ayala-Gómez, A. Benczúr
Proceedings of the Mexican International Conference on Artificial Intelligence, MICAI 2018
Where could we go? Recommendations for groups in location-based social networks
F. Ayala-Gómez, B.Z. Daróczy, M. Mathioudakis, A. Benczúr, A. Gionis
Proceedings of the 2017 ACM Web Science Conference, ACM WebSci 2017
RecSys Challenge 2014: an ensemble of binary classifiers and matrix factorization
Róbert Pálovics, Frederick Ayala-Gómez, Balázs Csikota, Bálint Daróczy, Levente Kocsis, Dominic Spadacene, András A Benczúr
Proceedings of the 2014 Recommender Systems Challenge, 13-18 (2014)