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» Clustering query refinements by user intent
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WWW
2010
ACM
13 years 11 months ago
Clustering query refinements by user intent
Eldar Sadikov, Jayant Madhavan, Lu Wang, Alon Y. H...
PAMI
2012
11 years 7 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
INTR
2010
157views more  INTR 2010»
13 years 3 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...
ECAI
2004
Springer
13 years 8 months ago
OntoRefiner, a user query refinement interface usable for Semantic Web Portals
We present a user interface, the OntoRefiner1 system, for helping the user to navigate numerous retrieved documents after a search querying a semantic portal which integrates a ver...
Brigitte Safar, Hassen Kefi, Chantal Reynaud
CIKM
2006
Springer
13 years 8 months ago
Re-ranking search results using query logs
This work addresses two common problems in search, frequently occurring with underspecified user queries: the top-ranked results for such queries may not contain documents relevan...
Ziming Zhuang, Silviu Cucerzan