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CIKM
2009
Springer
15 years 4 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...
ICIP
2001
IEEE
15 years 11 months ago
VISMap: an interactive image/video retrieval system using visualization and concept maps
Images and videos can be indexed by multiple features at different levels, such as color, texture, motion, and text annotation. Organizing this information into a system so that u...
William Chen, Shih-Fu Chang
JCIT
2008
159views more  JCIT 2008»
14 years 9 months ago
QoS-Aware Web Services Discovery with Trust Management
As the number of available Web services increases, there is a growing demand to find the service that best fits the user's requirements. Especially, when a set of services fu...
Yukyong Kim
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
NOTERE
2010
14 years 4 months ago
Experimental assessment of the TARGET adaptive ontology-based Web search framework
Finding relevant information on the Web can be a complex task for most of the users. Although Web search applications are improving, they still need to be more intelligent to adapt...
Nicolas Guelfi, Cédric Pruski, Chantal Reyn...