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HICSS
2006
IEEE
163views Biometrics» more  HICSS 2006»
15 years 10 months ago
Learning Ranking vs. Modeling Relevance
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
Dmitri Roussinov, Weiguo Fan
WEBDB
2010
Springer
168views Database» more  WEBDB 2010»
15 years 9 months ago
WikiAnalytics: Disambiguation of Keyword Search Results on Highly Heterogeneous Structured Data
Wikipedia infoboxes is an example of a seemingly structured, yet extraordinarily heterogeneous dataset, where any given record has only a tiny fraction of all possible fields. Su...
Andrey Balmin, Emiran Curtmola
HT
2007
ACM
15 years 8 months ago
Lesson learnt from a large-scale industrial semantic web application
The design and maintenance of an aero-engine generates a significant amount of documentation. When designing new engines, engineers must obtain knowledge gained from maintenance o...
Sylvia C. Wong, Richard M. Crowder, Gary B. Wills,...
152
Voted
ISMIR
2000
Springer
190views Music» more  ISMIR 2000»
15 years 7 months ago
Music IR: Past, Present, and Future
Music Information Retrieval has a longer history than most people realise, with systems developed in the 1960's. The field has its roots in information retrieval, musicology ...
Alexandra L. Uitdenbogerd
142
Voted
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 5 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider