KNM: a novel intelligent user interface for webpage navigation

Authors:
Shiguang Liu;Hua-Jun Zeng;Zheng Chen;Chuangbai Xiao;Wei-Ying Ma
Affiliations:
College of Computer Science and Technology, Beijing University of Technology, Beijing, P.R. China;Microsoft Research Asia, Beijing, P.R. China;Microsoft Research Asia, Beijing, P.R. China;College of Computer Science and Technology, Beijing University of Technology, Beijing, P.R. China;Microsoft Research Asia, Beijing, P.R. China
Venue:
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Year:
2005

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Abstract

In order to help readers grasp key information from web pages within limited time, a novel intelligent user interface for webpage navigation: Keyphrase Navigation Map (KNM) is proposed in this paper, which presents a map to the readers, assisting them to navigate their webpage. First, the key phrases are generated from the webpage and ranked by the keyphrase extraction engine, then they are clustered by keyphrase relevancy, and finally they are shown on the thumbnail according to their relative coordinates in the full page. The usability test proves that the KNM which presents an overview of the corresponding web page to readers can really help them to find information they are interested in effectively.