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» Understanding Search Trees via Statistical Physics
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CIKM
2009
Springer
13 years 12 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...
GIS
2010
ACM
13 years 4 months ago
Location disambiguation in local searches using gradient boosted decision trees
Local search is a specialization of the web search that allows users to submit geographically constrained queries. However, one of the challenges for local search engines is to un...
Ritesh Agrawal, James G. Shanahan
IIWAS
2004
13 years 6 months ago
Building the Architecture of A Statistics-Based Query Optimization Solution for Heterogeneous Mediators
Access to different and remote sources with heterogeneous formats is one of the most important challenges in Enterprise Information Integration. Even though there exists an increa...
Justo Hidalgo, Alberto Pan, José Losada, Ma...
IJCAI
2003
13 years 6 months ago
Coherent Keyphrase Extraction via Web Mining
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic ...
Peter D. Turney
ASIAMS
2007
IEEE
13 years 11 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal