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ICML
2009
IEEE
16 years 2 months ago
Interactively optimizing information retrieval systems as a dueling bandits problem
We present an on-line learning framework tailored towards real-time learning from observed user behavior in search engines and other information retrieval systems. In particular, ...
Yisong Yue, Thorsten Joachims
CIKM
2009
Springer
15 years 8 months ago
Adaptive relevance feedback in information retrieval
Relevance Feedback has proven very effective for improving retrieval accuracy. A difficult yet important problem in all relevance feedback methods is how to optimally balance the...
Yuanhua Lv, ChengXiang Zhai
SEMCO
2007
IEEE
15 years 8 months ago
Learning by Reading by Learning to Read
Knowledge-based natural language processing systems learn by reading, i.e., they process texts to extract knowledge. The performance of these systems crucially depends on knowledg...
Sergei Nirenburg, Tim Oates, Jesse English
ASPLOS
2009
ACM
16 years 2 months ago
Architecture-aware optimization targeting multithreaded stream computing
Byunghyun Jang, Synho Do, Homer H. Pien, David R. ...
POPL
2002
ACM
16 years 2 months ago
Exploiting prolific types for memory management and optimizations
Yefim Shuf, Manish Gupta, Rajesh Bordawekar, Jaswi...