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» A measure theoretic approach to information retrieval
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
16 years 6 months ago
Query chains: learning to rank from implicit feedback
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...
Filip Radlinski, Thorsten Joachims
ALMOB
2008
131views more  ALMOB 2008»
15 years 6 months ago
Fast algorithms for computing sequence distances by exhaustive substring composition
The increasing throughput of sequencing raises growing needs for methods of sequence analysis and comparison on a genomic scale, notably, in connection with phylogenetic tree reco...
Alberto Apostolico, Olgert Denas
AIRS
2010
Springer
15 years 4 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong
ESANN
2008
15 years 7 months ago
Automatic alignment of medical vs. general terminologies
We propose an original automatic alignment of definitions taken from different dictionaries that could be associated to the same concept although they may have different labels. Th...
Laura Diosan, Alexandrina Rogozan, Jean-Pierre P&e...
EDBT
2011
ACM
225views Database» more  EDBT 2011»
14 years 9 months ago
On (not) indexing quadratic form distance by metric access methods
The quadratic form distance (QFD) has been utilized as an effective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used...
Tomás Skopal, Tomás Bartos, Jakub Lo...