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International Conference on Mechanical Engineering and Technology (ICMET-London 2011)Available to Purchase
Editor
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859896
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
146 Improving the Retrieval of Documents with Its Tags by Tag Language Model Available to Purchase
Page Count:
4
-
Published:2011
Citation
Li, Q, & He, D. "Improving the Retrieval of Documents with Its Tags by Tag Language Model." International Conference on Mechanical Engineering and Technology (ICMET-London 2011). Ed. Lee, G. ASME Press, 2011.
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More and more on-line information systems allow users to assign the tags to such documents as entries in encyclopedia or articles in blogs or topics in social networks. Traditional way to retrieve these documents is the document retrieval method, but fails at using the tag information. This work proposes a tag-language-model, which builds a language model of the tags used to promote searches on documents with tags. The model integrates the document similarity model and tag similarity model. The experiments show that tag-language-model can effectively improve the searches on documents with tags.
Abstract
Keywords
Introduction
Related Works
Tag Language Model
Experiments
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