Paper Info
Title
A Model for Personalized Keyword Extraction from Web Pages using Segmentation
Abstract
The World Wide Web caters to the needs of billions of users in heterogeneous groups. Each user accessing the World Wide Web might have his / her own specific interest and would expect the web to respond to the specific requirements. The process of making the web to react in a customized manner is achieved through personalization. This paper proposes a novel model for extracting keywords from a web page with personalization being incorporated into it. The keyword extraction problem is approached with the help of web page segmentation which facilitates in making the problem simpler and solving it effectively. The proposed model is implemented as a prototype and the experiments conducted on it empirically validate the model's efficiency.
Year
DOI
Venue
2012
10.5120/5682-7720
International Journal of Computer Applications
Field
DocType
Volume
Static web page,Data mining,World Wide Web,Web intelligence,Web mining,Web page,Information retrieval,Computer science,Data Web,Web modeling,Web navigation,Web service
Journal
abs/1204.0309
ISSN
Citations 
PageRank 
International Journal of Computer Applications (0975 - 8887), Volume 42 - No.4, March 2012
0
0.34
References 
Authors
11
2
Name
Order
Citations
PageRank
K. S. Kuppusamy13414.65
G. Aghila21911.85