Web Design Scraping: Enabling Factors, Opportunities and Research Directions

Abdallah Namoun, Abdullah M. Alshanqiti, Ezzat Chamudi, Mohammed Ayman Rahmon
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引用次数: 5

Abstract

The number of online users accessing websites and consuming online services via their desktop and mobile browsers is on a constant rise. This paper coins and discusses the concept of web design scraping, which primarily promotes the idea of extracting, understanding, and modeling website components and characteristics and thereby inferring the meaning of the web design. Moreover, web design scraping emphasizes the role of state-of-the-art computing technologies and approaches, especially those powered by machine learning, in consolidating the understanding and intelligent construction and customization of website interfaces. Moreover, this paper discusses several enabling factors for web design scraping and recommends four research directions. The most notable research trends focus on the prediction of user satisfaction towards personalized web designs and the smart revamping of websites automatically by applying machine learning techniques that learn from the interaction history, preferences, and habits of online users.
网页设计抓取:促成因素、机会和研究方向
通过桌面和移动浏览器访问网站和消费在线服务的在线用户数量不断增加。本文提出并讨论了网页设计抓取的概念,它主要促进了对网站组件和特征进行提取、理解和建模的思想,从而推断出网页设计的意义。此外,网页设计抓取强调了最先进的计算技术和方法,特别是那些由机器学习驱动的技术和方法,在巩固网站界面的理解和智能构建和定制方面的作用。此外,本文还讨论了网页设计抓取的几个促成因素,并提出了四个研究方向。最值得注意的研究趋势集中在预测用户对个性化网页设计的满意度,以及通过应用从在线用户的交互历史、偏好和习惯中学习的机器学习技术自动对网站进行智能改造。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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