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SIGIR
2011
ACM
13 years 1 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen
DCOSS
2011
Springer
12 years 10 months ago
On sensor selection in linked information networks
—Sensor networks are often redundant by design; this is often done in order to achieve reliability in information processing. In many cases, the redundancy relationships between ...
Charu C. Aggarwal, Amotz Bar-Noy, Simon Shamoun
PLDI
2012
ACM
12 years 1 months ago
Effective parallelization of loops in the presence of I/O operations
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Min Feng, Rajiv Gupta, Iulian Neamtiu
ECOOP
2010
Springer
14 years 3 months ago
The Essence of JavaScript
We reduce JavaScript to a core calculus structured as a small-step operational semantics. We present several peculiarities of the language and show that our calculus models them. W...
Arjun Guha, Claudiu Saftoiu, Shriram Krishnamurthi
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 11 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny
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