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» Clustering of Search Engine Keywords Using Access Logs
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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
14 years 10 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
14 years 10 months ago
Exploiting underrepresented query aspects for automatic query expansion
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao
CLEF
2009
Springer
13 years 8 months ago
Diversity in Photo Retrieval: Overview of the ImageCLEFPhoto Task 2009
The ImageCLEF Photo Retrieval Task 2009 focused on image retrieval and diversity. A new collection was utilised in this task consisting of approximately half a million images with...
Monica Lestari Paramita, Mark Sanderson, Paul Clou...
W4A
2006
ACM
14 years 4 months ago
Evaluating interfaces for intelligent mobile search
Recent developments in the mobile phone market have led to a significant increase in the number of users accessing the Mobile Internet. Handsets have been improved to support a d...
Karen Church, Barry Smyth, Mark T. Keane
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 3 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz