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DL
2000
Springer
173views Digital Library» more  DL 2000»
15 years 1 months ago
Content-based book recommending using learning for text categorization
Recommender systems improve access to relevant products and information by making personalized suggestions based on previous examples of a user's likes and dislikes. Most exi...
Raymond J. Mooney, Loriene Roy
NAACL
2007
14 years 11 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
APWEB
2004
Springer
15 years 1 months ago
Using Maximum Entropy Model for Chinese Text Categorization
Ronglu Li, Xiaopeng Tao, Lei Tang, Yunfa Hu