TY - JOUR
T1 - Towards the identification of keywords in the web site text content
T2 - A methodological approach
AU - Velasquez, Juan D.
AU - Rios, Sebastian
AU - Bassi, Alejandro
AU - Yasuda, Hiroshi
AU - Aoki, Turumasa
PY - 2005
Y1 - 2005
N2 - Since the creation of the web, the designers are looking for friendlier ways of make web page contents, which pictures, sounds, movies and free texts attract the users' interest. Special attention receive the text content, because is the most frequently parameter used to retrieve information from the web. A simple way in order to understand the user's text preferences, could be collect the words used in a searching. However, this information is only well-know for the owner of the specific searching engine. In this paper we introduce a methodology in order to extract the most interest words for a user in a particular web site, based of the user browsing behavior and the web page text content. The methodology was tested using data originated in a bank web site showing the effectiveness of our approach.
AB - Since the creation of the web, the designers are looking for friendlier ways of make web page contents, which pictures, sounds, movies and free texts attract the users' interest. Special attention receive the text content, because is the most frequently parameter used to retrieve information from the web. A simple way in order to understand the user's text preferences, could be collect the words used in a searching. However, this information is only well-know for the owner of the specific searching engine. In this paper we introduce a methodology in order to extract the most interest words for a user in a particular web site, based of the user browsing behavior and the web page text content. The methodology was tested using data originated in a bank web site showing the effectiveness of our approach.
KW - Text preferences
KW - Web usage mining
UR - http://www.scopus.com/inward/record.url?scp=84886406016&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84886406016&partnerID=8YFLogxK
U2 - 10.1108/17440080580000083
DO - 10.1108/17440080580000083
M3 - Article
AN - SCOPUS:84886406016
VL - 1
SP - 53
EP - 57
JO - International Journal of Web Information Systems
JF - International Journal of Web Information Systems
SN - 1744-0084
IS - 1
M1 - 1614090
ER -