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ICML
2010
IEEE
13 years 12 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet
CAISE
1993
Springer
14 years 3 months ago
Similarity for Analogical Software Reuse: A Conceptual Modelling Approach
We present our approach to defining similarity between software artifacts and discuss its potential exploitation in software reuse by analogy. We first establish properties of si...
George Spanoudakis, Panos Constantopoulos
SMC
2007
IEEE
14 years 5 months ago
Sense based organization of descriptive data
— In this paper we propose a new technique allowing to map descriptive data into relative distance space, which is based primarily on senses of the terms stored in our data. We u...
M. Shahriar Hossain, Monika Akbar, Rafal A. Angryk
SIGIR
2005
ACM
14 years 4 months ago
Gravitation-based model for information retrieval
This paper proposes GBM (gravitation-based model), a physical model for information retrieval inspired by Newton’s theory of gravitation. A mapping is built in this model from c...
Shuming Shi, Ji-Rong Wen, Qing Yu, Ruihua Song, We...
EUROSSC
2009
Springer
14 years 5 months ago
Semantic Rules for Context-Aware Geographical Information Retrieval
Geographical information retrieval (GIR) can benefit from context information to adapt the results to a user’s current situation and personal preferences. In this respect, seman...
Carsten Keßler, Martin Raubal, Christoph Wos...