An information retrieval benchmarking model of satisficing and impatient users' behavior in online search environments
This study analyzes the effects that the position of the alternatives ranked by a search
engine and the relative impatience of users have on their information retrieval behavior. We …
engine and the relative impatience of users have on their information retrieval behavior. We …
A click-through rate model of e-commerce based on user interest and temporal behavior
Y **ao, WK He, Y Zhu, J Zhu - Expert Systems with Applications, 2022 - Elsevier
In the advertising and marketing of e-commerce platform, click rate prediction is directly
related to the revenue of e-commerce platform. In this paper, we propose an advertising click …
related to the revenue of e-commerce platform. In this paper, we propose an advertising click …
Interpretable click-through rate prediction through distillation of the neural additive factorization model
An accurate estimation of the click-through rate (CTR), that is, the probability of clicking on a
recommended advertisement item online, is crucial for advertising agencies to make …
recommended advertisement item online, is crucial for advertising agencies to make …
[HTML][HTML] On the capacity of artificial intelligence techniques and statistical methods to deal with low-quality data in medical supply chain environments
We illustrate the capacity of Artificial Intelligence (AI) and Machine Learning (ML) techniques
to preserve consistent categorization abilities whenever the quality of the data decreases …
to preserve consistent categorization abilities whenever the quality of the data decreases …
[HTML][HTML] Rational satisficing heuristics as determinants of online search behavior
We design a set of satisficing heuristic algorithms that mimic the online information retrieval
behavior of rational decision makers (DMs) as reflected in their click through rates (CTRs) …
behavior of rational decision makers (DMs) as reflected in their click through rates (CTRs) …
DistilledCTR: Accurate and scalable CTR prediction model through model distillation
Accuracy and scalability are critical to the efficiency and effectiveness of real-time
recommender systems. Recent deep learning-based click-through rate prediction models …
recommender systems. Recent deep learning-based click-through rate prediction models …
Hierarchical attention and feature projection for click-through rate prediction
J Zhang, C Zhong, S Fan, X Mu, Z Ni - Applied Intelligence, 2022 - Springer
Click-through rate (CTR) prediction plays an important role in many industrial applications,
feature engineering directly influences CTR prediction performance because features are …
feature engineering directly influences CTR prediction performance because features are …
ESWA an information retrieval benchmarking model of satisficing and impatient users' behavior in online search environments [Source Code]
This study analyzes the effects that the position of the alternatives ranked by a search
engine and the relative impatience of users have on their information retrieval behavior. We …
engine and the relative impatience of users have on their information retrieval behavior. We …
Comparative Analysis of Ad Click Behavior Prediction Using GAN-Augmented Data and Traditional Machine Learning Techniques
AS Salıhı, O Yıldız - Politeknik Dergisi - dergipark.org.tr
In e-commerce, predicting click-through rates (CTR) is crucial to anticipate user behavior.
User historical data can be used to extract interests and enhance CTR prediction, leading to …
User historical data can be used to extract interests and enhance CTR prediction, leading to …