Click-through rate prediction in online advertising: A literature review
Y Yang, P Zhai - Information Processing & Management, 2022 - Elsevier
Predicting the probability that a user will click on a specific advertisement has been a
prevalent issue in online advertising, attracting much research attention in the past decades …
prevalent issue in online advertising, attracting much research attention in the past decades …
Understanding consumer journey using attention based recurrent neural networks
Paths of online users towards a purchase event (conversion) can be very complex, and
guiding them through their journey is an integral part of online advertising. Studies in …
guiding them through their journey is an integral part of online advertising. Studies in …
R-RNN: Extracting user recent behavior sequence for click-through rate prediction
M Gan, K **ao - IEEE Access, 2019 - ieeexplore.ieee.org
Click-through rate (CTR) prediction is of great importance in such web applications as
recommender systems, web search, and online advertising. Exploring the interest of a user …
recommender systems, web search, and online advertising. Exploring the interest of a user …
A new click-through rates prediction model based on Deep&Cross network
G Huang, Q Chen, C Deng - Algorithms, 2020 - mdpi.com
With the development of E-commerce, online advertising began to thrive and has gradually
developed into a new mode of business, of which Click-Through Rates (CTR) prediction is …
developed into a new mode of business, of which Click-Through Rates (CTR) prediction is …
Elucidating the impact of cognitive and behavioral responses to web banner-ad frequency
R Hussain, R Iqbal - Journal of Marketing Communications, 2023 - Taylor & Francis
The impact of banner advertisement frequency on consumers' cognitive (ie, brand recall)
and behavioral responses (ie, click-through) is investigated, and a (4× 2) between …
and behavioral responses (ie, click-through) is investigated, and a (4× 2) between …
Bio-cyber interface parameter estimation with neural network for the Internet of Bio-Nano Things
Recently, there is growing interest in the Internet of Bio-Nano Things (IoBNT) based on
biological communication with the advent of communication engineering and …
biological communication with the advent of communication engineering and …
Usability and security testing of online links: a framework for click-through rate prediction using deep learning
R Damaševičius, L Zailskaitė-Jakštė - Electronics, 2022 - mdpi.com
The user, usage, and usability (3U's) are three principal constituents for cyber security. The
effective analysis of the 3U data using artificial intelligence (AI) techniques allows to deduce …
effective analysis of the 3U data using artificial intelligence (AI) techniques allows to deduce …
Guiding creative design in online advertising
Ad creatives (text and images) for a brand play an influential role in online advertising. To
design impactful ads, creative strategists employed by the brands (advertisers) typically go …
design impactful ads, creative strategists employed by the brands (advertisers) typically go …
Optimizing clinical trials recruitment via deep learning
Objective Clinical trials, prospective research studies on human participants carried out by a
distributed team of clinical investigators, play a crucial role in the development of new …
distributed team of clinical investigators, play a crucial role in the development of new …
Deep Journey Hierarchical Attention Networks for Conversion Predictions in Digital Marketing
G Ban, H Yun, B Lee, D Sung, SS Woo - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
In digital marketing, precise audience targeting is crucial for campaign efficiency. However,
digital marketing agencies often struggle with incomplete user profiles and interaction …
digital marketing agencies often struggle with incomplete user profiles and interaction …