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» Retrieval Status Values in Information Retrieval Evaluation
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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
APSEC
2003
IEEE
15 years 12 months ago
Understanding How the Requirements Are Implemented in Source Code
For software maintenance and evolution, a common problem is to understand how each requirement is implemented in the source code. The basic solution of this problem is to find the...
Wei Zhao, Lu Zhang, Yin Liu, Jing Luo, Jiasu Sun
ICAT
2006
IEEE
16 years 18 days ago
Mobile Information Presentation Schemes for Supra-adaptive Logistics Applications
In supra-adaptive logistics systems, operative workers must be able to quickly and precisely retrieve objects from large storage areas with minimal training. We explore concepts to...
Björn Schwerdtfeger, Troels Frimor, Daniel Pu...
WWW
2009
ACM
16 years 7 months ago
Visual diversification of image search results
Due to the reliance on the textual information associated with an image, image search engines on the Web lack the discriminative power to deliver visually diverse search results. ...
Reinier H. van Leuken, Lluis Garcia Pueyo, Ximena ...
CIKM
2009
Springer
16 years 1 months ago
A query model based on normalized log-likelihood
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke