{"title":"一种新的E-learning社区构建算法","authors":"Yi Jiang, Qingling Yue, Zhaogui Qin","doi":"10.1109/ISECS.2008.202","DOIUrl":null,"url":null,"abstract":"The distance education has tended to cyberization, and how learners study in a collaborative way becomes a key issue. This paper presented a learning communities algorithm based on interest similarity, which can cluster learners with similar interests into the same community and help then collaborative learn. The experiments show that this mechanism can improve efficiency and scalability.","PeriodicalId":144075,"journal":{"name":"2008 International Symposium on Electronic Commerce and Security","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Constructing Algorithm of E-learning Community\",\"authors\":\"Yi Jiang, Qingling Yue, Zhaogui Qin\",\"doi\":\"10.1109/ISECS.2008.202\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The distance education has tended to cyberization, and how learners study in a collaborative way becomes a key issue. This paper presented a learning communities algorithm based on interest similarity, which can cluster learners with similar interests into the same community and help then collaborative learn. The experiments show that this mechanism can improve efficiency and scalability.\",\"PeriodicalId\":144075,\"journal\":{\"name\":\"2008 International Symposium on Electronic Commerce and Security\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Electronic Commerce and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISECS.2008.202\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Electronic Commerce and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISECS.2008.202","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Constructing Algorithm of E-learning Community
The distance education has tended to cyberization, and how learners study in a collaborative way becomes a key issue. This paper presented a learning communities algorithm based on interest similarity, which can cluster learners with similar interests into the same community and help then collaborative learn. The experiments show that this mechanism can improve efficiency and scalability.
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