研究与论文

我的研究聚焦于推荐系统、营销数据科学和用户获取优化，尤其关注移动游戏行业中的实际应用。

当前研究方向

—移动游戏的营销数据科学与用户获取优化
—针对 iOS 隐私框架的收入归因方法，特别是 SKAN Conversion Values
—运用机器学习技术进行营销预算与创意优化

既往研究

—面向群体决策的上下文感知推荐系统
—关于群体推荐算法与知识图谱的博士研究

下载博士论文（PDF） Google Scholar ResearchGate LinkedIn

论文列表

2025

Hallucination Level of Artificial Intelligence Whisperer: Case Speech Recognizing Pantterinousut Rap Song

Ismo Horppu, Frederick Ayala, Erlin Gulbenkoglu

arXiv preprint arXiv:2506.16174 (2025)

AIASRHallucinationFaster WhispererSpeech-to-TextFinnish rapPantterinousut

PDF 外部链接

2022

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

MarketingF2PApp Tracking TransparencyiOSRevenue Attribution

PDF 外部链接

2021

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)

MarketingF2PApp Tracking TransparencyiOSRevenue Attribution

PDF 外部链接

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)

GamesClassificationSupport Vector MachineMachine Learning

PDF 外部链接

2019

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)

Recommender SystemsSession RecommendationRecurrent Neural NetworksFisher Embedding

PDF 外部链接

2018

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)

Recommender SystemsGlobal Citation RecommendationKnowledge GraphsLearning to Rank

PDF 外部链接

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

Recommender SystemsTop-k Context-Aware Tour RecommendationsGroups

PDF 外部链接

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

Recommender SystemsInfrequent Item-to-Item RecommendationInvariant Random Fields

PDF 外部链接

2017

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

Recommender SystemsRecommendations for GroupsLocation-Based Social Networks

PDF 外部链接

2014

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)

Recommender SystemsRecSys ChallengeBinary ClassifiersMatrix Factorization

PDF 外部链接