Top- k Team Recommendation and Its Variants in Spatial Crowdsourcing.

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Title: Top- k Team Recommendation and Its Variants in Spatial Crowdsourcing.
Authors: Gao, Dawei1, david_gao@buaa.edu.cn, Tong, Yongxin1, yxtong@buaa.edu.cn, She, Jieying2, jshe@cse.ust.hk, Song, Tianshu1, songts@buaa.edu.cn, Chen, Lei2, leichen@cse.ust.hk, Xu, Ke1, kexu@buaa.edu.cn
Source: Data Science & Engineering; Jun2017, Vol. 2 Issue 2, p136-150, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 123386330
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PubType: Academic Journal
PubTypeId: academicJournal
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      – Type: doi
        Value: 10.1007/s41019-017-0037-1
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 136
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      – TitleFull: Top- k Team Recommendation and Its Variants in Spatial Crowdsourcing.
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            NameFull: Gao, Dawei
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            NameFull: Tong, Yongxin
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            NameFull: She, Jieying
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            NameFull: Song, Tianshu
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            NameFull: Chen, Lei
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            NameFull: Xu, Ke
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              M: 06
              Text: Jun2017
              Type: published
              Y: 2017
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