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CIKM
2009
Springer
16 years 1 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
SIGIR
2009
ACM
16 years 1 months ago
Compressing term positions in web indexes
Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...
Hao Yan, Shuai Ding, Torsten Suel
WWW
2008
ACM
16 years 7 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates
IJNSEC
2007
194views more  IJNSEC 2007»
15 years 6 months ago
Covert Channel Forensics on the Internet: Issues, Approaches, and Experiences
The exponential growth of the Internet (WWW in particular) has opened-up several avenues for covert channel communication. Steganographic communication is one such avenue. Hiding ...
Ashish Patel, M. Shah, Rajarathnam Chandramouli, K...
IADIS
2004
15 years 8 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