document: Representing personal web information using a topic-oriented interface Nowadays , Web activities have become daily practice for people . It is therefore essential to organize and present this continuously increasing Web information in a more usable manner . In this paper , we developed a novel approach to reorganize personal Web information as a topic-oriented interface . In our approach , we proposed to utilize anchor , title and URL information to represent content information for the browsed Web pages rather than the content body . Furthermore , we explored three methods to organize personal Web information : 1 ) top-down statistical clustering ; 2 ) salience phrase based clustering ; and 3 ) support vector machine ( SVM ) based classification . Finally , we conducted a usability study to verify the effectiveness of our proposed solution . The experimental results demonstrated that users could visit the pages that have been browsed previously more easily with our approach than existing solutions .
doc_bio_tags: O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O B O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O