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ACMSE
2006
ACM
14 years 2 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
LREC
2010
187views Education» more  LREC 2010»
13 years 10 months ago
Ontology-Based Categorization of Web Services with Machine Learning
We present the problem of categorizing web services according to a shallow ontology for presentation on a specialist portal, using their WSDL and associated textual documents foun...
Adam Funk, Kalina Bontcheva
IJMI
2002
82views more  IJMI 2002»
13 years 8 months ago
Protein names and how to find them
A prerequisite for all higher level information extraction tasks is the identication of unknown names in text. Today, when large corpora can consist of billions of words, it is of...
Kristofer Franzén, Gunnar Eriksson, Fredrik...
WWW
2005
ACM
14 years 9 months ago
An experimental study on large-scale web categorization
Taxonomies of the Web typically have hundreds of thousands of categories and skewed category distribution over documents. It is not clear whether existing text classification tech...
Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin ...
IDA
2001
Springer
14 years 1 months ago
An Algorithm for Segmenting Categorical Time Series into Meaningful Episodes
This paper describes an unsupervised algorithm for segmenting categorical time series. The algorithm first collects statistics about the frequency and boundary entropy of ngrams, t...
Paul R. Cohen, Niall M. Adams