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pro vyhledávání: '"Saribaş AS"'
This paper introduces a novel approach for click-through rate (CTR) prediction within industrial recommender systems, addressing the inherent challenges of numerical imbalance and geometric asymmetry. These challenges stem from imbalanced datasets, w
Externí odkaz:
http://arxiv.org/abs/2406.03892
Multi-Task Learning (MTL) plays a crucial role in real-world advertising applications such as recommender systems, aiming to achieve robust representations while minimizing resource consumption. MTL endeavors to simultaneously optimize multiple tasks
Externí odkaz:
http://arxiv.org/abs/2406.02163
Autor:
Saribaş, Özgür, Demir, Cengiz
Publikováno v:
Worldwide Hospitality and Tourism Themes, 2024, Vol. 16, Issue 6, pp. 756-774.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WHATT-05-2024-0092
Autor:
Dilbaz, Serdarcan, Saribas, Hasan
Click-Through Rate (CTR) prediction holds a pivotal place in online advertising and recommender systems since CTR prediction performance directly influences the overall satisfaction of the users and the revenue generated by companies. Even so, CTR pr
Externí odkaz:
http://arxiv.org/abs/2308.15033
With the increasing complexity and scale of click-through rate (CTR) prediction tasks in online advertising and recommendation systems, accurately estimating the importance of features has become a critical aspect of developing effective models. In t
Externí odkaz:
http://arxiv.org/abs/2308.13187
Autor:
Cevikalp, Hakan, Saribas, Hasan
The classification loss functions used in deep neural network classifiers can be grouped into two categories based on maximizing the margin in either Euclidean or angular spaces. Euclidean distances between sample vectors are used during classificati
Externí odkaz:
http://arxiv.org/abs/2212.11747
Publikováno v:
Hayef: Journal of Education, Vol 21, Iss 2, Pp 108-119 (2024)
The study aimed to examine the effect of the Emotion Regulation Training Program on the emotion regulation skills of children residing in children’s homes and to ascertain the opinions of the institution’s child development specialist and care st
Externí odkaz:
https://doaj.org/article/eefeffb5aecc4c58bcd41eb44e5fcf65
Publikováno v:
In Virology January 2025 602
Autor:
KASAROĞLU, Kaan1 kaan.kasaroglu@ikcu.edu.tr, SARIBAŞ, Özgür2 ozgur.saribas@ikcu.edu.tr, GÜLER, Mehmet Emre3 memre.guler@ikcu.edu.tr
Publikováno v:
Balikesir University Journal of Social Sciences Institute. haz2024, Vol. 27 Issue 51, p213-225. 13p.
Robust object tracking requires knowledge of tracked objects' appearance, motion and their evolution over time. Although motion provides distinctive and complementary information especially for fast moving objects, most of the recent tracking archite
Externí odkaz:
http://arxiv.org/abs/2011.09524