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CIKM
2010
Springer
13 years 6 months ago
Online learning for recency search ranking using real-time user feedback
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohu...
SIGCSE
2006
ACM
172views Education» more  SIGCSE 2006»
14 years 1 months ago
Computing in context: integrating an embedded computing project into a course on ethical and societal issues
A hands-on embedded computing project is introduced into an undergraduate social sciences course. In the pilot module, nine student teams created working prototypes, using the tec...
Fred G. Martin, Sarah Kuhn
SAC
2006
ACM
14 years 1 months ago
Automatic structured query transformation over distributed digital libraries
Structured data and complex schemas are becoming the main way to represent the information many Digital Libraries provide, thus impacting the services they offer. When searching i...
M. Elena Renda, Umberto Straccia
CVPR
2001
IEEE
14 years 9 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
SIGMOD
2009
ACM
189views Database» more  SIGMOD 2009»
14 years 8 months ago
Query segmentation using conditional random fields
A growing mount of available text data are being stored in relational databases, giving rise to an increasing need for the RDBMSs to support effective text retrieval. In this pape...
Xiaohui Yu, Huxia Shi