KNM: A novel intelligent user interface for webpage navigation

Shiguang Liu, Hua-Jun Zeng, Zheng Chen, Chuangbai Xiao, Wei-Ying Ma

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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. © Springer-Verlag Berlin Heidelberg 2005.
Original languageEnglish
Title of host publicationInformation Retrieval Technology - Second Asia Information Retrieval Symposium, AIRS 2005, Proceedings
PublisherSpringer Verlag
Pages641-646
Volume3689 LNCS
ISBN (Print)3540291865, 9783540291862
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event2nd Asia Information Retrieval Symposium, AIRS 2005 - Jeju Island, Korea, Republic of
Duration: 13 Oct 200515 Oct 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3689 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Asia Information Retrieval Symposium, AIRS 2005
PlaceKorea, Republic of
CityJeju Island
Period13/10/0515/10/05

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