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pro vyhledávání: '"Ramazan, Tarık"'
Autor:
Turksoy, Ramazan Tarik, Turkmen, Beyza
Click-through rate (CTR) prediction is a crucial task in online advertising to recommend products that users are likely to be interested in. To identify the best-performing models, rigorous model evaluation is necessary. Offline experimentation plays
Externí odkaz:
http://arxiv.org/abs/2406.18320
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
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Advancements in instrumentation support improved powered ankle prostheses hardware development. However, control algorithms have limitations regarding number and type of sensors utilized and achieving autonomous adaptation, which is key to a natural
Externí odkaz:
https://doaj.org/article/069094a9ec6b4fe8b1a81c351513f100
Akademický článek
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Autor:
Ramazan, Tarık
Publikováno v:
Volume: 18, Issue: 18 213-220
Usul İslam Araştırmaları
Usul İslam Araştırmaları
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=tubitakulakb::1a8919fc53cf6fbb86f314e4366545ac
https://dergipark.org.tr/tr/pub/usul/issue/16711/173758
https://dergipark.org.tr/tr/pub/usul/issue/16711/173758