Learning to evaluate the visual quality of web pages

Authors:
Ou Wu;Yunfei Chen;Bing Li;Weiming Hu
Affiliations:
Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China;Chinese Academy of Sciences, Beijing, China
Venue:
Proceedings of the 19th international conference on World wide web
Year:
2010

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Abstract

A beautiful and well-laid out Web page greatly facilitates users' accessing and enhances browsing experiences. We use "visual quality (VQ)" 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 known to significantly affect the visual quality of a Web page are extracted to construct a feature vector. The experimental results show the initial success of our approach. Potential applications include Web search and Web design.