TitleTaxonomy Induction and Taxonomy-based Recommendations for Online Courses
AuthorsYang, Shuo
Feng, Yansong
Zou, Lei
Jia, Aixia
Zhao, Dongyan
AffiliationICST, Peking University, Beijing, China
Issue Date2015
Publisher15th ACM/IEEE-CE Joint Conference on Digital Libraries, JCDL 2015
Citation15th ACM/IEEE-CE Joint Conference on Digital Libraries, JCDL 2015.Knoxville, TN, United states,2015/6/21,2015-June(267-268).
AbstractTaxonomy is a useful and ubiquitous way to organize knowledge. As online education attracting more and more attention, organizing lecture notes or exercises, from different online sources, in a more structured form has become an effective way to navigate users to better access course materials. However, it is expensive and time consuming to manually annotate large amounts of corpora to build a detailed taxonomy. In this paper, we propose a taxonomy induction framework with limited human involvement. We also show that the constructed taxonomy can be used to improve lecture notes/exercises recommendations. ? 2015 Authors.
URIhttp://hdl.handle.net/20.500.11897/436792
ISSN9781450335942
DOI10.1145/2756406.2756968
IndexedEI
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