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» Query-log mining for detecting spam
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AIRWEB
2008
Springer
13 years 6 months ago
Query-log mining for detecting spam
Every day millions of users search for information on the web via search engines, and provide implicit feedback to the results shown for their queries by clicking or not onto them...
Carlos Castillo, Claudio Corsi, Debora Donato, Pao...
WWW
2011
ACM
12 years 11 months ago
Unsupervised query segmentation using only query logs
We introduce an unsupervised query segmentation scheme that uses query logs as the only resource and can effectively capture the structural units in queries. We believe that Web s...
Nikita Mishra, Rishiraj Saha Roy, Niloy Ganguly, S...
WWW
2007
ACM
14 years 5 months ago
Causal relation of queries from temporal logs
In this paper, we study a new problem of mining causal relation of queries in search engine query logs. Causal relation between two queries means event on one query is the causati...
Yizhou Sun, Kunqing Xie, Ning Liu, Shuicheng Yan, ...
ICDM
2006
IEEE
139views Data Mining» more  ICDM 2006»
13 years 10 months ago
Detecting Link Spam Using Temporal Information
How to effectively protect against spam on search ranking results is an important issue for contemporary web search engines. This paper addresses the problem of combating one majo...
Guoyang Shen, Bin Gao, Tie-Yan Liu, Guang Feng, Sh...
ADMA
2009
Springer
246views Data Mining» more  ADMA 2009»
13 years 11 months ago
Semi Supervised Image Spam Hunter: A Regularized Discriminant EM Approach
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
Yan Gao, Ming Yang, Alok N. Choudhary