{"title":"在微博中通过其追随者的社会背景为潜伏用户生成个人资料","authors":"Zhao Zhang, Bin Zhao, Weining Qian, Aoying Zhou","doi":"10.1109/WISA.2012.37","DOIUrl":null,"url":null,"abstract":"Microblogs, a mixture of new media and social networks, is a hotbed of lurking users. It is meaningful to capture profiles for a lurking user in customized applications because a lurking user can receive all messages except for sending few messages in microblogs. However, it is difficult to capture profiles for a lurking user because of lacking its user-generated contents. In this paper, we propose an approach to generate the lurking user's profiles by its followees' activities. In addition, we present a unified social context graph model to represent the lurking user's followees' activities. And the RWR algorithm is used to generate profiles of the lurking user in this graph model. Extensive experiments show that our approach can effectively determine profiles for lurking users.","PeriodicalId":313228,"journal":{"name":"2012 Ninth Web Information Systems and Applications Conference","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Generating Profiles for a Lurking User by its Followees' Social Context in Microblogs\",\"authors\":\"Zhao Zhang, Bin Zhao, Weining Qian, Aoying Zhou\",\"doi\":\"10.1109/WISA.2012.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microblogs, a mixture of new media and social networks, is a hotbed of lurking users. It is meaningful to capture profiles for a lurking user in customized applications because a lurking user can receive all messages except for sending few messages in microblogs. However, it is difficult to capture profiles for a lurking user because of lacking its user-generated contents. In this paper, we propose an approach to generate the lurking user's profiles by its followees' activities. In addition, we present a unified social context graph model to represent the lurking user's followees' activities. And the RWR algorithm is used to generate profiles of the lurking user in this graph model. Extensive experiments show that our approach can effectively determine profiles for lurking users.\",\"PeriodicalId\":313228,\"journal\":{\"name\":\"2012 Ninth Web Information Systems and Applications Conference\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth Web Information Systems and Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISA.2012.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth Web Information Systems and Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISA.2012.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Generating Profiles for a Lurking User by its Followees' Social Context in Microblogs
Microblogs, a mixture of new media and social networks, is a hotbed of lurking users. It is meaningful to capture profiles for a lurking user in customized applications because a lurking user can receive all messages except for sending few messages in microblogs. However, it is difficult to capture profiles for a lurking user because of lacking its user-generated contents. In this paper, we propose an approach to generate the lurking user's profiles by its followees' activities. In addition, we present a unified social context graph model to represent the lurking user's followees' activities. And the RWR algorithm is used to generate profiles of the lurking user in this graph model. Extensive experiments show that our approach can effectively determine profiles for lurking users.