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IJHPCN
2008
94views more  IJHPCN 2008»
15 years 6 months ago
Analysing and improving clustering based sampling for microprocessor simulation
: We propose a set of statistical metrics for making a comprehensive, fair, and insightful evaluation of features, clustering algorithms, and distance measures in representative sa...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
CIKM
2010
Springer
15 years 5 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
ISCA
2010
IEEE
237views Hardware» more  ISCA 2010»
15 years 5 months ago
High performance cache replacement using re-reference interval prediction (RRIP)
Practical cache replacement policies attempt to emulate optimal replacement by predicting the re-reference interval of a cache block. The commonly used LRU replacement policy alwa...
Aamer Jaleel, Kevin B. Theobald, Simon C. Steely J...
SIGIR
2012
ACM
13 years 9 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
SIGIR
2012
ACM
13 years 9 months ago
Explicit relevance models in intent-oriented information retrieval diversification
The intent-oriented search diversification methods developed in the field so far tend to build on generative views of the retrieval system to be diversified. Core algorithm compon...
Saul Vargas, Pablo Castells, David Vallet