Paper Info
Title
A Novel Knowledge Network Framework For Financial News Navigation
Abstract
Nowadays, various financial news retrieval platforms are provided to help users, especially for financial professionals and hobbyists to make right decisions. In those platforms, users usually get information by searching the relevant news via keywords or clicking the recommended news with the similar topic in the clicked web page. However, such ways to obtain financial information cannot effectively meet users' further needs. They are eager to obtain the relevant news with different domains in a short time. To address this problem, we propose a novel four-layers-based knowledge network framework for financial news navigation. Experiments on real data sets demonstrate the effectiveness and efficiency of our proposed framework.
Year
DOI
Venue
2014
10.1007/978-3-319-08010-9_78
WEB-AGE INFORMATION MANAGEMENT, WAIM 2014
Keywords
Field
DocType
retrieval platform, knowledge network, financial news navigation
Data mining,World Wide Web,Financial information,Financial news,Web page,Computer science
Conference
Volume
ISSN
Citations 
8485
0302-9743
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Lili Zhou100.68
Hanchao Wang200.68
Lei Zhang3315.43
Enhong Chen4123586.93
Jun Chen518727.66