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CIKM
2010
Springer
15 years 4 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
EWCBR
2004
Springer
15 years 11 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake
ACIVS
2008
Springer
15 years 8 months ago
Efficient and Flexible Cluster-and-Search for CBIR
Content-Based Image Retrieval is a challenging problem both in terms of effectiveness and efficiency. In this paper, we present a flexible cluster-and-search approach that is able ...
Anderson Rocha, Jurandy Almeida, Mario A. Nascimen...
ECIR
2007
Springer
15 years 7 months ago
A Parameterised Search System
This paper introduces the concept of a Parameterised Search System (PSS), which allows flexibility in user queries, and, more importantly, allows system engineers to easily defin...
Roberto Cornacchia, Arjen P. de Vries
DMIN
2006
160views Data Mining» more  DMIN 2006»
15 years 7 months ago
MF-tree: Extracting and Clustering the Structural Features from Music Object in MusicXML
In the music information retrieval field, the most important topic is to extract the feature which represents the content from the music objects. The content feature is useful for ...
Yu-Chih Shen, Jia-Lien Hsu, Shuk-Chun Chung