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» On Score Distributions and Relevance
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PVLDB
2010
92views more  PVLDB 2010»
15 years 4 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
SIGIR
2009
ACM
16 years 19 days ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
MM
2004
ACM
152views Multimedia» more  MM 2004»
15 years 11 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
NIPS
2007
15 years 7 months ago
Distributed Inference for Latent Dirichlet Allocation
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
CIKM
2001
Springer
15 years 10 months ago
The Effectiveness of Query Expansion for Distributed Information Retrieval
Query expansion has been shown effective for both single database retrieval and for distributed information retrieval where complete collection information is available. One might...
Paul Ogilvie, James P. Callan