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CSE
2009
IEEE
15 years 8 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
CCS
2011
ACM
14 years 1 months ago
Fashion crimes: trending-term exploitation on the web
Online service providers are engaged in constant conflict with miscreants who try to siphon a portion of legitimate traffic to make illicit profits. We study the abuse of “tr...
Tyler Moore, Nektarios Leontiadis, Nicolas Christi...
CIKM
2005
Springer
15 years 7 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen
DATAMINE
2006
97views more  DATAMINE 2006»
15 years 2 months ago
Reinforcing Web-object Categorization Through Interrelationships
Existing categorization algorithms deal with homogeneous Web objects, and consider interrelated objects as additional features when taking the interrelationships with other types o...
Gui-Rong Xue, Yong Yu, Dou Shen, Qiang Yang, Hua-J...
CIKM
2009
Springer
15 years 8 months ago
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching
The problem of measuring similarity between web pages arises in many important Web applications, such as search engines and Web directories. In this paper, we propose a novel neig...
Zhenjiang Lin, Michael R. Lyu, Irwin King