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- Publisher Website: 10.1145/2638728.2638761
- Scopus: eid_2-s2.0-84908703787
- WOS: WOS:000704293700050
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Conference Paper: LifeDelivery: Recruiting participants to deliver users' daily goods!
Title | LifeDelivery: Recruiting participants to deliver users' daily goods! |
---|---|
Authors | |
Keywords | Crowdsourcing Friends mechanism Cloud perception technology |
Issue Date | 2014 |
Citation | UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014, p. 199-202 How to Cite? |
Abstract | Crowdsourcing has emerged in recent years as an online, distributed problem-solving and production model. Based on crowdsourcing, kinds of systems are developed to deliver people's packages through crowd. These systems are applied in large area and based on vehicle-mounted movement mode. In contrast to prior work, we focus on system used in little communities with walking-based movement mode, which is capable of delivering people's daily goods (such as thermos, fruit, assignment, etc.) in campus. Due to the different demands and behavior features of students in the prior system, many students give others help just to make friends but not for money. Based on this difference, we presented LifeDelivery, a crowdsourcing service able to use the Friends Mechanism, which will regard strangers who offer help as friends, and the Cloud Perception Technology which can process, classify and percept all the requirement orders, to recruit participants to deliver the daily goods for users. And this will bring great convenience to users and help students, make friends and share life. |
Persistent Identifier | http://hdl.handle.net/10722/296104 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Zhao, Weidan | - |
dc.contributor.author | Yang, Yongjian | - |
dc.contributor.author | Liao, Wu | - |
dc.contributor.author | Du, Zhanwei | - |
dc.contributor.author | Zhang, Chijun | - |
dc.date.accessioned | 2021-02-11T04:52:50Z | - |
dc.date.available | 2021-02-11T04:52:50Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014, p. 199-202 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296104 | - |
dc.description.abstract | Crowdsourcing has emerged in recent years as an online, distributed problem-solving and production model. Based on crowdsourcing, kinds of systems are developed to deliver people's packages through crowd. These systems are applied in large area and based on vehicle-mounted movement mode. In contrast to prior work, we focus on system used in little communities with walking-based movement mode, which is capable of delivering people's daily goods (such as thermos, fruit, assignment, etc.) in campus. Due to the different demands and behavior features of students in the prior system, many students give others help just to make friends but not for money. Based on this difference, we presented LifeDelivery, a crowdsourcing service able to use the Friends Mechanism, which will regard strangers who offer help as friends, and the Cloud Perception Technology which can process, classify and percept all the requirement orders, to recruit participants to deliver the daily goods for users. And this will bring great convenience to users and help students, make friends and share life. | - |
dc.language | eng | - |
dc.relation.ispartof | UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing | - |
dc.subject | Crowdsourcing | - |
dc.subject | Friends mechanism | - |
dc.subject | Cloud perception technology | - |
dc.title | LifeDelivery: Recruiting participants to deliver users' daily goods! | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1145/2638728.2638761 | - |
dc.identifier.scopus | eid_2-s2.0-84908703787 | - |
dc.identifier.spage | 199 | - |
dc.identifier.epage | 202 | - |
dc.identifier.isi | WOS:000704293700050 | - |