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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 29 days 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 7 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