{"title":"TCSC:新型的空间众包","authors":"Ting Wang","doi":"10.1109/MDM.2019.00-24","DOIUrl":null,"url":null,"abstract":"The popularity of advanced mobile terminals allows spatial crowdsourcing to be widely used. In this work, we study a new type of spatial crowdsourcing, called time-continuous spatial crowdsourcing (TCSC in short). This type of crowdsourcing is primarily concerned with tasks that take a long time to finish and involves time-sharing among multiple workers. We study single-task and multi-task scenarios, and propose novel strategies to optimize the assignment process. Extensive experiments are conducted to support our proposals.","PeriodicalId":241426,"journal":{"name":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TCSC: A New Type Of Spatial Crowdsourcing\",\"authors\":\"Ting Wang\",\"doi\":\"10.1109/MDM.2019.00-24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The popularity of advanced mobile terminals allows spatial crowdsourcing to be widely used. In this work, we study a new type of spatial crowdsourcing, called time-continuous spatial crowdsourcing (TCSC in short). This type of crowdsourcing is primarily concerned with tasks that take a long time to finish and involves time-sharing among multiple workers. We study single-task and multi-task scenarios, and propose novel strategies to optimize the assignment process. Extensive experiments are conducted to support our proposals.\",\"PeriodicalId\":241426,\"journal\":{\"name\":\"2019 20th IEEE International Conference on Mobile Data Management (MDM)\",\"volume\":\"191 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 20th IEEE International Conference on Mobile Data Management (MDM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MDM.2019.00-24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 20th IEEE International Conference on Mobile Data Management (MDM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDM.2019.00-24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The popularity of advanced mobile terminals allows spatial crowdsourcing to be widely used. In this work, we study a new type of spatial crowdsourcing, called time-continuous spatial crowdsourcing (TCSC in short). This type of crowdsourcing is primarily concerned with tasks that take a long time to finish and involves time-sharing among multiple workers. We study single-task and multi-task scenarios, and propose novel strategies to optimize the assignment process. Extensive experiments are conducted to support our proposals.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
