{"title":"企业和Web大众分类法中的聚类标签","authors":"Edwin Simpson","doi":"10.1609/icwsm.v2i1.18661","DOIUrl":null,"url":null,"abstract":"Tags lack organizational structure limiting their utility for navigation. We present two clustering algorithms that improve this by organizing tags automatically. We apply the algorithms to two very different datasets, visualize the results and propose future improvements.","PeriodicalId":338112,"journal":{"name":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"46","resultStr":"{\"title\":\"Clustering Tags in Enterprise and Web Folksonomies\",\"authors\":\"Edwin Simpson\",\"doi\":\"10.1609/icwsm.v2i1.18661\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Tags lack organizational structure limiting their utility for navigation. We present two clustering algorithms that improve this by organizing tags automatically. We apply the algorithms to two very different datasets, visualize the results and propose future improvements.\",\"PeriodicalId\":338112,\"journal\":{\"name\":\"Proceedings of the International AAAI Conference on Web and Social Media\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"46\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International AAAI Conference on Web and Social Media\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1609/icwsm.v2i1.18661\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International AAAI Conference on Web and Social Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1609/icwsm.v2i1.18661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Clustering Tags in Enterprise and Web Folksonomies
Tags lack organizational structure limiting their utility for navigation. We present two clustering algorithms that improve this by organizing tags automatically. We apply the algorithms to two very different datasets, visualize the results and propose future improvements.