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PVLDB
2010
92views more  PVLDB 2010»
15 years 1 months ago
Proximity Rank Join
We introduce the proximity rank join problem, where we are given a set of relations whose tuples are equipped with a score and a real-valued feature vector. Given a target feature...
Davide Martinenghi, Marco Tagliasacchi
150
Voted
SIGIR
2009
ACM
15 years 9 months ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
COLT
1999
Springer
15 years 7 months ago
Covering Numbers for Support Vector Machines
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
92
Voted
HCI
2007
15 years 4 months ago
Pictogram Retrieval Based on Collective Semantics
Abstract. To retrieve pictograms having semantically ambiguous interpretations, we propose a semantic relevance measure which uses pictogram interpretation words collected from a w...
Heeryon Cho, Toru Ishida, Rieko Inaba, Toshiyuki T...
CIKM
2008
Springer
15 years 5 months ago
Efficient and effective link analysis with precomputed salsa maps
SALSA is a link-based ranking algorithm that takes the result set of a query as input, extends the set to include additional neighboring documents in the web graph, and performs a...
Marc Najork, Nick Craswell