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» On evaluating web search with very few relevant documents
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TOCHI
2010
90views more  TOCHI 2010»
14 years 8 months ago
Potential for personalization
Current Web search tools do a good job of retrieving documents that satisfy the wide range of intentions that people associate with a query – but do not do a very good job of di...
Jaime Teevan, Susan T. Dumais, Eric Horvitz
WWW
2011
ACM
14 years 4 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...
MIE
2008
160views Healthcare» more  MIE 2008»
14 years 11 months ago
Using Medline Queries to Generate Image Retrieval Tasks for Benchmarking
Medical visual information retrieval has been a very active research area over the past ten years as an increasing amount of images is produced digitally and made available in the ...
Henning Müller, Jayashree Kalpathy-Cramer, Wi...
IRFC
2011
Springer
14 years 1 months ago
Word Clouds of Multiple Search Results
Search engine result pages (SERPs) are known as the most expensive real estate on the planet. Most queries yield millions of organic search results, yet searchers seldom look beyon...
Rianne Kaptein, Jaap Kamps
HPDC
2003
IEEE
15 years 3 months ago
Distributed Pagerank for P2P Systems
This paper defines and describes a fully distributed implementation of Google’s highly effective Pagerank algorithm, for “peer to peer”(P2P) systems. The implementation is ...
Karthikeyan Sankaralingam, Simha Sethumadhavan, Ja...