2017/12/25 by Yao Wu, Tianzhen Wu, Wu, Yao +11 · 1 citation
Computer Science · Social Sciences · #Architecture #Business #Caching and Content Delivery #Computer network #Computer science #Database #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Location-based service #Mobile Crowdsensing and Crowdsourcing #Mobile computing #Mobile device #Mobile payment #Mobile service #Scalability #Service (business) #Service provider #Service system #Sketch #World Wide Web #cs.IR
paper · pdf · doi:10.48550/arxiv.1712.09010
published in arXiv (Cornell University) (Cornell University) · 4 pages
arxiv created 2017/12/25 · openalex publication_date 2017/12/25 · arxiv updated 2017/12/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Proliferation of ubiquitous mobile devices makes location based services prevalent. Mobile users are able to volunteer as providers of specific services and in the meanwhile to search these services. For example, drivers may be interested in tracking available nearby users who are willing to help with motor repair or are willing to provide travel directions or first aid. With the diffusion of mobile users, it is necessary to provide scalable means of enabling such users to connect with other nearby users so that they can help each other with specific services. Motivated by these observations, we design and implement a general location based system HelPal for mobile users to provide and enjoy instant service, which is called mobile crowd service. In this demo, we introduce a mobile crowd service system featured with several novel techniques. We sketch the system architecture and illustrate scenarios via several cases. Demonstration shows the user-friendly search interface for users to conveniently find skilled and qualified nearby service providers.