Paper Info
Title
Extracting hidden information based on comparing web with UGC
Abstract
Nowadays, many users create information related to user-generated content (UGC) such as that for social network services (SNSs). They create communities based on their hobbies and interests. Then they readily exchange that information mutually in the UGC. They know the information of the community deeply and the information tends to become rare information. Therefore, much information that is not written in the general Web content is buried in the UGC. We designate that buried information as "hidden information." Our proposed "hidden information" definition is "specific information for the community and important information for general users." As described in this paper, we propose a means to extract "hidden information."
Year
DOI
Venue
2010
10.1007/978-3-642-24396-7_29
WISE Workshops
Keywords
Field
DocType
social network service,rare information,user-generated content,hidden information,general user,general web content,specific information,important information
Data mining,World Wide Web,Social network,Computer science,Specific-information,Web content,Information quality
Conference
Volume
ISSN
Citations 
6724
0302-9743
0
PageRank 
References 
Authors
0.34
14
2
Name
Order
Citations
PageRank
Keisuke Uchimura173.07
Akiyo Nadamoto218934.24