{"title":"选择最佳解决方案:面向基于社区的灾害管理众包","authors":"Zhiyong Yu, Daqing Zhang, Dingqi Yang, Guolong Chen","doi":"10.1109/APSCC.2012.20","DOIUrl":null,"url":null,"abstract":"Crowd sourcing is a new paradigm of service provision. Current commercial crowd sourcing platforms rarely consider the interaction between task takers, which is extremely required in the disaster management scenario. In this paper, we designed a framework for community based crowd sourcing, i.e., task takers are from an existing community or will easily form a new community. A size-specified community creation method using multiple social contexts is also proposed.","PeriodicalId":256842,"journal":{"name":"2012 IEEE Asia-Pacific Services Computing Conference","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Selecting the Best Solvers: Toward Community Based Crowdsourcing for Disaster Management\",\"authors\":\"Zhiyong Yu, Daqing Zhang, Dingqi Yang, Guolong Chen\",\"doi\":\"10.1109/APSCC.2012.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Crowd sourcing is a new paradigm of service provision. Current commercial crowd sourcing platforms rarely consider the interaction between task takers, which is extremely required in the disaster management scenario. In this paper, we designed a framework for community based crowd sourcing, i.e., task takers are from an existing community or will easily form a new community. A size-specified community creation method using multiple social contexts is also proposed.\",\"PeriodicalId\":256842,\"journal\":{\"name\":\"2012 IEEE Asia-Pacific Services Computing Conference\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Asia-Pacific Services Computing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSCC.2012.20\",\"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 IEEE Asia-Pacific Services Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSCC.2012.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Selecting the Best Solvers: Toward Community Based Crowdsourcing for Disaster Management
Crowd sourcing is a new paradigm of service provision. Current commercial crowd sourcing platforms rarely consider the interaction between task takers, which is extremely required in the disaster management scenario. In this paper, we designed a framework for community based crowd sourcing, i.e., task takers are from an existing community or will easily form a new community. A size-specified community creation method using multiple social contexts is also proposed.
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