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WeBeVis: Analyzing user web behavior through visual metaphors
Citation
Huang, W and Khoury, R and Dawborn, T and Huang, B and Huang, M and Huang, X, WeBeVis: Analyzing user web behavior through visual metaphors, Science China Information Sciences, 56 pp. 1-15. ISSN 1869-1919 (2013) [Refereed Article]
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Official URL: http://info.scichina.com:8084/sciFe/EN/column/colu...
DOI: doi:10.1007/s11432-013-4869-7
Abstract
The rapid growth of Internet usage has dramatically changed the way we interact with the outside
world. Many people read news, communicate with friends and purchase goods online. These activities are
usually done via web browsing, and web browsers record information about these activities. The recorded data
can be used to understand web browsing behavior of users and improve their browsing experience. For example,
website usability and the personalization of online services could both benefit from knowledge of user browsing
behavior. A number of methods including data mining, text processing and visualization have been used to
uncover user browsing patterns. However, these methods are mainly used to analyze and gain insights into
collective behavior patterns of either a large amount of separate web users or users within an online community
over a prolonged period of time. Very few systems are available for analyzing the detailed behavior of a single
user within a relatively short and specific period of time. In an attempt to shorten this gap, we have developed
a visual analytic system called WeBeVis. This system offers three different ways of visualizing web browsing
data based on our proposed visual metaphors. It also provides a common interface for users to interact with the
visualizations. In this paper, we describe this system and present a user study of it. We show that by visualizing
the web browsing history of a user, we are able to uncover interesting patterns in the way that individuals use
the web.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | web browsing, behavior analysis, visual metaphor, visualization, algorithm, visual analytics, evaluation |
| Research Division: | Information and Computing Sciences |
| Research Group: | Library and information studies |
| Research Field: | Human information interaction and retrieval |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in the information and computing sciences |
| UTAS Author: | Huang, W (Dr Tony Huang) |
| ID Code: | 90135 |
| Year Published: | 2013 |
| Web of Science® Times Cited: | 1 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2014-03-27 |
| Last Modified: | 2018-04-04 |
| Downloads: | 1 View Download Statistics |
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