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HCI
2009
13 years 5 months ago
User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence
It becomes more difficult to find valuable contents in the Web 2.0 environment since lots of inexperienced users provide many unorganized contents. In the previous researches, peop...
Jeong-Won Cha, Hyun-woo Lee, Yo-Sub Han, Laehyun K...
CEAS
2007
Springer
14 years 1 months ago
Characterizing Web Spam Using Content and HTTP Session Analysis
Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using conten...
Steve Webb, James Caverlee, Calton Pu
AIRS
2006
Springer
13 years 11 months ago
Learning to Separate Text Content and Style for Classification
Many text documents naturally have two kinds of labels. For example, we may label web pages from universities according to their categories, such as "student" or "fa...
Dell Zhang, Wee Sun Lee
IJMMS
2007
173views more  IJMMS 2007»
13 years 7 months ago
Analyzing terror campaigns on the internet: Technical sophistication, content richness, and Web interactivity
Terrorists and extremists are increasingly utilizing Internet technology to enhance their ability to influence the outside world. Due to the lack of multi-lingual and multimedia ...
Jialun Qin, Yilu Zhou, Edna Reid, Guanpi Lai, Hsin...
SIGIR
2012
ACM
11 years 10 months ago
Predicting quality flaws in user-generated content: the case of wikipedia
The detection and improvement of low-quality information is a key concern in Web applications that are based on user-generated content; a popular example is the online encyclopedi...
Maik Anderka, Benno Stein, Nedim Lipka