نتایج جستجو برای: Click through Rate

تعداد نتایج: 2206483  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده فنی 1391

the study of air infiltration into the buildings is important from several perspectives that may be noted to energy and design of hvac systems, indoor air quality and thermal comfort and design of smoke control systems. given the importance of this issue, an experimental and numerical study of air infiltration through conventional doors and windows has been explored in iran. to this end, at fir...

Journal: :International Journal of Computer Applications 2016

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2019

Journal: :Journal of Theoretical and Applied Electronic Commerce Research 2023

The growth of e-commerce has led to the widespread use DeepCTR technology. Among various types, deep interest network (DIN), evolution (DIEN), and session (DSIN) developed by Alibaba have achieved good results in practice. However, above model’s filtering for user’s own historical behavior sequences insufficient context features lead reduced recommendation effectiveness. To address these issues...

2006
Moira Regelson Daniel C. Fain

Click-through rate is a quantity of interest to online advertisers, search engine optimizers, and sponsored search providers alike. The rate at which users click on advertisements presented to them serves as both a metric for evaluating advertising effectiveness and a financial tool for cost and revenue projection. To predict future click-through rate, investigators typically use historical cli...

Journal: :Lecture Notes in Computer Science 2021

Click-Through Rate (CTR) prediction is a core task in nowadays commercial recommender systems. Feature crossing, as the mainline of research on CTR prediction, has shown promising way to enhance predictive performance. Even though various models are able learn feature interactions without manual engineering, they rarely attempt individually representations for different structures. In particula...

Journal: :Proceedings of the ... AAAI Conference on Artificial Intelligence 2023

Click-through rate (CTR) prediction is crucial in recommendation and online advertising systems. Existing methods usually model user behaviors, while ignoring the informative context which influences to make a click decision, e.g., pages pre-ranking candidates that inform inferences about interests, leading suboptimal performance. In this paper, we propose Decision-Making Context Interaction Ne...

Journal: :International Journal of Computer Applications 2017

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