Usability and Security Testing of Online Links: A Framework for Click-Through Rate Prediction Using Deep Learning

Damaševičius, Robertas; Zailskaitė-Jakštė, Ligita

doi:10.3390/electronics11030400

Cited by 5 publications

(5 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Big data analytics has been regarded as a key competency that can enhance a business' performance [38,39]. The performance of a company should be maximized by improving its big data analytics capabilities.…”

Section: Problem Statement Analyzed From the Literaturementioning

confidence: 99%

Retracted: Performance optimization of unstructured E‐commerce log data for activity and pattern evaluation using web analytics

Shukla¹,

Mishra

Sinha

et al. 2022

IET Communications

View full text Add to dashboard Cite

The above article from IET Communications, published online on 4 November 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Interim Editor‐in‐Chief, Jian Ren, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal's peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.

show abstract

Section: Problem Statement Analyzed From the Literaturementioning

confidence: 99%

Retracted: Performance optimization of unstructured E‐commerce log data for activity and pattern evaluation using web analytics

Shukla¹,

Mishra

Sinha

et al. 2022

IET Communications

View full text Add to dashboard Cite

show abstract

“…They are content, ease of use, publicity and promotion, personalized services, and emotions. According to Damaševičius, [32], a limited number of studies have been done to develop features for e-commerce websites. They also find that a few researchers have done some work on the e-commerce model, but this research only provides very few e-commerce insights, and they do not include usability and security.…”

Section: Literature Reviewmentioning

confidence: 99%

“…There were no methodologies used in the production of all areas of usability and security. Learnability, efficiency, and satisfaction were tested by [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], and [36] is recommended as method's process in Figure 1.…”

Section: Literature Reviewmentioning

confidence: 99%

A Static Machine Learning Based Evaluation Method for Usability and Security Analysis in E-Commerce Website

et al. 2023

View full text Add to dashboard Cite

Measurement of e-commerce usability based on static quantities variable is state-of-theart because of the adoption of sequential tracing of the next phase in the categorical data. The global COVID-19 outbreak has completely disrupted society and drastically altered daily life. The concept refers to an electronic commerce network that appears with thorough, understandable conviction, demand, and rapid confirmation as a replacement for the economical market's ''brick-and-mortar'' model, which replaces how we do everything, including business strategy, and provides a better understanding with the interpretation of e-commerce features. This study was supervised to analyze usability assessments using statistical methods and security assessments using online e-commerce security scanner tools to investigate e-business standards that consider the caliber of e-services in e-commerce websites across Asian nations. The method was developed to optimize complex systems based on multiple criteria. The initial (supplied) weights are used to determine the compromise ranking list and compromise solution. This paper examines the usability of e-commerce in rural areas using a new data set from the Jharkhand region. On the e-commerce websites of Jharkhand, India, usability is commonly considered in conjunction with learnability, memorability, effectiveness, engagement, efficiency, and completeness. Using a user-oriented questionnaire testing method, this survey attempts to close the gaps mentioned above. Then, across each column, divide each value by the column-wise sum that is created using their corresponding value, whichever produces a new matrix B. Finally, determine the row-wise sum of matrix B representing the (3 × 1) matrix. Using model trees and bagging, this study addresses classification-related issues. This regression technique is useful for problems involving classification. The model is trained using secondary data from the MBTI 16 personality factors affecting personality category.

show abstract

“…The way that advertising is done has evolved significantly with the rise of the Internet and big data technology. Digital radio, mobile messages, mobile TV, and other media are used to deliver and distribute advertisements ( Damaševičius & Zailskaite-Jakšte, 2022 ). Combining big data analysis and information fusion scheduling techniques is important to assess the efficacy of correct advertising delivery, create an adaptive evaluation model for its performance, and increase the efficiency of accurate advertising delivery.…”

Section: Introductionmentioning

confidence: 99%

Advertisement design in dynamic interactive scenarios using DeepFM and long short-term memory (LSTM)

Zeng,

Asif

2024

PeerJ Computer Science

View full text Add to dashboard Cite

This article addresses the evolving landscape of data advertising within network-based new media, seeking to mitigate the accuracy limitations prevalent in traditional film and television advertising evaluations. To overcome these challenges, a novel data-driven nonlinear dynamic neural network planning approach is proposed. Its primary objective is to augment the real-time evaluation precision and accuracy of film and television advertising in the dynamic interactive realm of network media. The methodology primarily revolves around formulating a design model for visual advertising in film and television, customized for the dynamic interactive milieu of network media. Leveraging DeepFM+long short-term memory (LSTM) modules in deep learning neural networks, the article embarks on constructing a comprehensive information statistics and data interest model derived from two public datasets. It further engages in feature engineering for visual advertising, crafting self-learning association rules that guide the data-driven design process and system flow. The article concludes by benchmarking the proposed visual neural network model against other models, using F1 and root mean square error (RMSE) metrics for evaluation. The findings affirm that the proposed model, capable of handling dynamic interactions among images, visual text, and more, excels in capturing nonlinear and feature-mining aspects. It exhibits commendable robustness and generalization capabilities within various contexts.

show abstract

Usability and Security Testing of Online Links: A Framework for Click-Through Rate Prediction Using Deep Learning

Cited by 5 publications

References 66 publications

Retracted: Performance optimization of unstructured E‐commerce log data for activity and pattern evaluation using web analytics

Retracted: Performance optimization of unstructured E‐commerce log data for activity and pattern evaluation using web analytics

A Static Machine Learning Based Evaluation Method for Usability and Security Analysis in E-Commerce Website

Advertisement design in dynamic interactive scenarios using DeepFM and long short-term memory (LSTM)

Contact Info

Product

Resources

About