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PDPTA
1996
13 years 11 months ago
Document Retrieval Performance on Parallel Systems
The problem of eciently retrieving and ranking documents from a huge collection according to their relevance to a research topic is addressed. A broad class of queries is de ned a...
David Hawking
JUCS
2008
117views more  JUCS 2008»
13 years 9 months ago
Ranking Retrieval Systems with Partial Relevance Judgements
: Some measures such as mean average precision and recall level precision are considered as good system-oriented measures, because they concern both precision and recall that are t...
Shengli Wu, Fabio Crestani
DOCENG
2004
ACM
14 years 3 months ago
Presenting the results of relevance-oriented search over XML documents
In this paper, we discuss how to present the result of searching elements of any type from XML documents relevant to some information need (relevance-oriented search). As the resu...
Alda Lopes Gançarski, Pedro Rangel Henrique...
SIGIR
2012
ACM
12 years 3 days 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
CLEF
2006
Springer
14 years 1 months ago
GIR Experimentation
Geographic Information Retrieval (GIR) community has generally accepted the thesis that both thematic and geographic aspect of documents may be useful for GIR. This paper describe...
Geoffrey Andogah