World Wide Web https://doi.org/10.1007/s11280-018-0563-4 Online delivery route recommendation in spatial crowdsourcing 1 1 1 2 Dezhi Sun · Ke Xu · Hao Cheng · Yuanyuan Zhang · 1 1 1 Tianshu Song · Rui Liu · Yi Xu Received: 25 February 2018 / Revised: 30 March 2018 / Accepted: 5 April 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract With the emergence of many crowdsourcing platforms, crowdsourcing has gained much attention. Spatial crowdsourcing is a rapidly developing extension of the traditional crowdsourcing, and its goal is to organize workers to perform spatial tasks. Route recom- mendation is an important concern in spatial crowdsourcing. In this paper, we define a novel problem called the Online Delivery Route Recommendation (OnlineDRR) problem, in which the income of a single worker is maximized under online scenarios. It is proved that no deterministic online algorithm for this problem has a constant competitive ratio. We This article belongs to the Topical Collection: Special Issue on Big Data Management and Intelligent Analytics Guest Editors: Junping Du, Panos Kalnis, Wenling Li, and Shuo Shang Rui Liu firstname.lastname@example.org Dezhi Sun email@example.com Ke Xu firstname.lastname@example.org Hao Cheng email@example.com Yuanyuan Zhang firstname.lastname@example.org Tianshu Song email@example.com Yi
World Wide Web – Springer Journals
Published: May 28, 2018
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