119 search results - page 2 / 24 » Comparing the sensitivity of information retrieval metrics |
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
Existing retrieval models generally do not offer any guarantee for optimal retrieval performance. Indeed, it is even difficult, if not impossible, to predict a model’s empirica...
PR
2006
13 years 4 months ago
2006
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
WSDM
2010
ACM
14 years 2 months ago
2010
ACM
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
PR
2006
13 years 4 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...