Measuring the Visual Complexities of Web Pages
文献类型：期刊论文
| 作者 | Wu, Ou1 ; Hu, Weiming1; Shi, Lei2; Ou Wu
|
| 刊名 | ACM TRANSACTIONS ON THE WEB
 |
| 出版日期 | 2013-03-01 |
| 卷号 | 7期号:1 |
| 关键词 | Algorithms Performance Visual complexity (VisCom) quantification Web mining feature learning |
| 英文摘要 | Visual complexities (VisComs) of Web pages significantly affect user experience, and automatic evaluation can facilitate a large number of Web-based applications. The construction of a model for measuring the VisComs of Web pages requires the extraction of typical features and learning based on labeled Web pages. However, as far as the authors are aware, little headway has been made on measuring VisCom in Web mining and machine learning. The present article provides a new approach combining Web mining techniques and machine learning algorithms for measuring the VisComs of Web pages. The structure of a Web page is first analyzed, and the layout is then extracted. Using a Web page as a semistructured image, three classes of features are extracted to construct a feature vector. The feature vector is fed into a learned measuring function to calculate the VisCom of the page. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | AESTHETICS ; USERS |
| 收录类别 | SCI ; SSCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000316416200001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3261]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
| 通讯作者 | Ou Wu |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100864, Peoples R China 2.Yahoo Beijing Res Ctr, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Ou,Hu, Weiming,Shi, Lei,et al. Measuring the Visual Complexities of Web Pages[J]. ACM TRANSACTIONS ON THE WEB,2013,7(1). |
| APA | Wu, Ou,Hu, Weiming,Shi, Lei,&Ou Wu.(2013).Measuring the Visual Complexities of Web Pages.ACM TRANSACTIONS ON THE WEB,7(1). |
| MLA | Wu, Ou,et al."Measuring the Visual Complexities of Web Pages".ACM TRANSACTIONS ON THE WEB 7.1(2013). |
入库方式： OAI收割
来源：自动化研究所
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