Paper Info
Title
Finding Communities Using User Preference In Web Structure Mining
Abstract
Web structure mining is the method based on the graph structure of hyperlinks, and it does not use the information of web contents. HITS algorithm and PageRank algorithm are popular methods for web structure mining. In this study, we deal with the finding algorithm of web communities in web structure mining. This algorithm receives some URLs of user's known web pages, and proposes to the user the candidates of pages in the web community by using the structure of bipartite graph. We investigate the effect of introduction of user preference to each known pages, and discuss the way to improve the finding algorithm of web communities.
Year
DOI
Venue
2011
10.20965/jaciii.2011.p0377
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
Keywords
Field
DocType
web community, web structure mining, user preference
World Wide Web,Web mining,Web intelligence,Semantic Web Stack,Web analytics,Computer science,Web standards,Data Web,Web navigation,Social Semantic Web
Journal
Volume
Issue
ISSN
15
3
1343-0130
Citations 
PageRank 
References 
0
0.34
3
Authors
2
Name
Order
Citations
PageRank
Takeshi Yoshikawa181.79
Hidetoshi Nonaka28512.18