{"title":"一种推断维基百科贡献者简介的聚类方法","authors":"Shubham Krishna, Romain Billot, Nicolas Jullien","doi":"10.1145/3233391.3233968","DOIUrl":null,"url":null,"abstract":"Recent studies have improved our knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. We show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these profiles with good accuracy and stability. This suggests that light monitoring of newcomers may be sufficient to adapt the interaction with them and to increase the retention rate.","PeriodicalId":179513,"journal":{"name":"Proceedings of the 14th International Symposium on Open Collaboration","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A clustering approach to infer Wikipedia contributors' profile\",\"authors\":\"Shubham Krishna, Romain Billot, Nicolas Jullien\",\"doi\":\"10.1145/3233391.3233968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent studies have improved our knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. We show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these profiles with good accuracy and stability. This suggests that light monitoring of newcomers may be sufficient to adapt the interaction with them and to increase the retention rate.\",\"PeriodicalId\":179513,\"journal\":{\"name\":\"Proceedings of the 14th International Symposium on Open Collaboration\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th International Symposium on Open Collaboration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3233391.3233968\",\"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 14th International Symposium on Open Collaboration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3233391.3233968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A clustering approach to infer Wikipedia contributors' profile
Recent studies have improved our knowledge about the different types or profiles of online contributors, from casual to very involved ones, through focused people. But they use very complex methodologies, making their replication by the practitioners limited. We show on both Romanian and Danish wikis that using only the edit and their distribution over time to feed clustering techniques, allows to build these profiles with good accuracy and stability. This suggests that light monitoring of newcomers may be sufficient to adapt the interaction with them and to increase the retention rate.