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AIRWEB
2009
Springer
14 years 4 months ago
Looking into the past to better classify web spam
Web spamming techniques aim to achieve undeserved rankings in search results. Research has been widely conducted on identifying such spam and neutralizing its influence. However,...
Na Dai, Brian D. Davison, Xiaoguang Qi
INTR
2010
157views more  INTR 2010»
13 years 8 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
INAP
2001
Springer
14 years 2 months ago
A Modern Approach to Searching the World Wide Web: Ranking Pages by Inference over Content
The Hypertext-based Webs such as Intranets contain a vast amount of information pertaining to an enormous number of subjects. It is, however, an organically grown and thus essentia...
Bronson Trevor, Edgar Weippl, Werner Winiwarter
WWW
2008
ACM
14 years 11 months ago
Mining for personal name aliases on the web
We propose a novel approach to find aliases of a given name from the web. We exploit a set of known names and their aliases as training data and extract lexical patterns that conv...
Danushka Bollegala, Taiki Honma, Yutaka Matsuo, Mi...
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
14 years 4 months ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...