Shuo Yang, Yansong Feng, Lei Zou, Aixia Jia, Dongyan Zhao
{"title":"Taxonomy Induction and Taxonomy-based Recommendations for Online Courses","authors":"Shuo Yang, Yansong Feng, Lei Zou, Aixia Jia, Dongyan Zhao","doi":"10.1145/2756406.2756968","DOIUrl":null,"url":null,"abstract":"Taxonomy 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.","PeriodicalId":256118,"journal":{"name":"Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2756406.2756968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Taxonomy 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.