Category hierarchy maintenance : a data-driven approach
Category hierarchies often evolve at a much slower pace than the documents reside in. With newly available documents kept adding into a hierarchy, new topics emerge and documents within the same category become less topically cohesive. In this paper, we propose a novel automatic approach to modifyin...
Main Authors: | Yuan, Quan, Cong, Gao, Sun, Aixin, Lin, Chin-Yew, Magnenat-Thalmann, Nadia |
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Other Authors: | School of Computer Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/97576 http://hdl.handle.net/10220/12082 |
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