Making large-scale support vector machine learning practical
Advances in kernel methods
Cognitive design of home pages: an experimental study of comprehension on the World Wide Web
Information Processing and Management: an International Journal
Function-based object model towards website adaptation
Proceedings of the 10th international conference on World Wide Web
Cost-Sensitive Learning by Cost-Proportionate Example Weighting
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Learning block importance models for web pages
Proceedings of the 13th international conference on World Wide Web
Assessing dimensions of perceived visual aesthetics of web sites
International Journal of Human-Computer Studies - Incorporating knowledge acquisition
A tutorial on support vector regression
Statistics and Computing
A critical evaluation of literature on visual aesthetics for the web
SAICSIT '04 Proceedings of the 2004 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
Homepage aesthetics: The search for preference factors and the challenges of subjectivity
Interacting with Computers
Evaluating the consistency of immediate aesthetic perceptions of web pages
International Journal of Human-Computer Studies
Aesthetics and credibility in web site design
Information Processing and Management: an International Journal
Modelling user experience with web sites: Usability, hedonic value, beauty and goodness
Interacting with Computers
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Visual complexity and aesthetic perception of web pages
Proceedings of the 26th annual ACM international conference on Design of communication
Proceedings of the 26th annual ACM international conference on Design of communication
A densitometric approach to web page segmentation
Proceedings of the 17th ACM conference on Information and knowledge management
Photo and Video Quality Evaluation: Focusing on the Subject
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Ranking and classifying attractiveness of photos in folksonomies
Proceedings of the 18th international conference on World wide web
Bayesian modelling of colour's usage impact to web credibility
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Exploiting 'subjective' annotations
HumanJudge '08 Proceedings of the Workshop on Human Judgements in Computational Linguistics
Visual complexity of websites: Effects on users' experience, physiology, performance, and memory
International Journal of Human-Computer Studies
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Proceedings of the 20th ACM international conference on Multimedia
Measuring the Visual Complexities of Web Pages
ACM Transactions on the Web (TWEB)
Automatic generation of social media snippets for mobile browsing
Proceedings of the 21st ACM international conference on Multimedia
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Current Web mining explores useful and valuable information (content) online for users. However, there is scant research on the overall visual aspect of Web pages, even though visual elements such as aesthetics significantly influence user experience. A beautiful and well-laid out Web page greatly facilitates users' accessing and enhances browsing experiences.We use "visual quality (VisQ)" to denote the aesthetics of Web pages. In this paper, a computational aesthetics approach is proposed to learn the evaluation model for the visual quality of Web pages. First, a Web page layout extraction algorithm (V-LBE) is introduced to partition a Web page into major layout blocks. Then, regarding a Web page as a semi-structured image, features (e.g., layout,visual complexity, colorfulness) known to significantly affect the visual quality of a Web page are extracted to construct a feature vector. We present a multi-cost-sensitive learning for visual quality classification and a multi-value regression for visual quality score assignment. Our experiments compare the extracted features and conclude that the Web page's layout visual features (LV) and text visual features (TV) are the primary affecting factors toward Web page's visual quality. The performance of the learned visual quality classifier is close to some persons'. The learned regression function also achieves promising results.