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CSE
2009
IEEE
14 years 2 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...
WWW
2006
ACM
14 years 8 months ago
Detecting spam web pages through content analysis
In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to influence the results from search engin...
Alexandros Ntoulas, Marc Najork, Mark Manasse, Den...
SIGIR
2012
ACM
11 years 10 months ago
Fighting against web spam: a novel propagation method based on click-through data
Combating Web spam is one of the greatest challenges for Web search engines. State-of-the-art anti-spam techniques focus mainly on detecting varieties of spam strategies, such as ...
Chao Wei, Yiqun Liu, Min Zhang, Shaoping Ma, Liyun...
IADIS
2004
13 years 9 months ago
'surfing for knowledge' finding semantically similar Web clusters
In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
David Cleary, Diarmuid O'Donoghue
SIGMOD
2005
ACM
126views Database» more  SIGMOD 2005»
14 years 1 months ago
Page Quality: In Search of an Unbiased Web Ranking
In a number of recent studies [4, 8] researchers have found that because search engines repeatedly return currently popular pages at the top of search results, popular pages tend ...
Junghoo Cho, Sourashis Roy, Robert Adams