loading...
An Examination of Genre Attributes for Web Page Classification
Waikoloa, Big Island, Hawaii January 07-January 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HICSS.2008.53Proceedings of the 41st Annual Hawaii ...
 This Article 
 
PURCHASE ARTICLE: $0
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Lei Dong, Carolyn Watters, Jack Duffy, Michael Shepherd, "An Examination of Genre Attributes for Web Page Classification," Hawaii International Conference on System Sciences, pp. 133, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008.
 
 
BibTex
x
 
@article{ 10.1109/HICSS.2008.53,
author = {Lei Dong and Carolyn Watters and Jack Duffy and Michael Shepherd},
title = {An Examination of Genre Attributes for Web Page Classification},
journal ={Hawaii International Conference on System Sciences},
volume = {0},
year = {2008},
issn = {1530-1605},
pages = {133},
doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.2008.53},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Hawaii International Conference on System Sciences
TI - An Examination of Genre Attributes for Web Page Classification
SN - 1530-1605
SP
EP
A1 - Lei Dong,
A1 - Carolyn Watters,
A1 - Jack Duffy,
A1 - Michael Shepherd,
PY - 2008
VL - 0
JA - Hawaii International Conference on System Sciences
ER -
 
In this paper, we describe a set of experiments to examine the effect of various attributes of web genre on the automatic identification of the genre of web pages. Four different genres are used in the data set, namely, FAQ, News, E-Shopping and Personal Home Pages. The effects of the number of features used to represent the web pages (5, 20, or 100) as well as the types of attributes, content, form, functionality, singly and in various combinations are examined. The results indicate that fewer features produce better precision but more features produce better recall, and that attributes in combinations will always perform better than single attributes.
Citation:
Lei Dong, Carolyn Watters, Jack Duffy, Michael Shepherd, "An Examination of Genre Attributes for Web Page Classification," hicss, pp.133, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008), 2008
Usage of this product signifies your acceptance of the Terms of Use.