103 search results - page 8 / 21 » Knowledge transfer for cross domain learning to rank |
122
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EMNLP
2010
14 years 9 months ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
103
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ATAL
2009
Springer
15 years 5 months ago
2009
Springer
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
102
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ICML
2009
IEEE
15 years 12 months ago
2009
IEEE
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
130
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AAAI
2010
15 years 15 days ago
2010
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
114
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SIGIR
2008
ACM
14 years 11 months ago
2008
ACM
In many Web applications, such as blog classification and newsgroup classification, labeled data are in short supply. It often happens that obtaining labeled data in a new domain ...