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» Generalized Posynomial Performance Modeling
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SIGIR
2012
ACM
13 years 9 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SIGIR
2008
ACM
15 years 6 months ago
Query-drift prevention for robust query expansion
Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many...
Liron Zighelnic, Oren Kurland
DAC
2007
ACM
16 years 7 months ago
SODA: Sensitivity Based Optimization of Disk Architecture
Storage plays a pivotal role in the performance of many applications. Optimizing disk architectures is a design-time as well as a run-time issue and requires balancing between per...
Yan Zhang, Sudhanva Gurumurthi, Mircea R. Stan
DAC
2004
ACM
16 years 7 months ago
Toward a systematic-variation aware timing methodology
Variability of circuit performance is becoming a very important issue for ultra-deep sub-micron technology. Gate length variation has the most direct impact on circuit performance...
Puneet Gupta, Fook-Luen Heng
SIGIR
2005
ACM
16 years 8 days ago
Measure-based metasearch
We propose a simple method for converting many standard measures of retrieval performance into metasearch algorithms. Our focus is both on the analysis of retrieval measures thems...
Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz