HelPal: A Search System for Mobile Crowd Service
Yao Wu, Tianzhen Wu, Ziyi Xiong, Yuncheng Wu, Hong Chen, Cuiping Li,, Xiaoying Zhang

TL;DR
HelPal is a scalable location-based system enabling mobile users to find and offer nearby crowd services efficiently, enhancing instant service exchange through innovative techniques and user-friendly interfaces.
Contribution
The paper introduces HelPal, a novel mobile crowd service system with scalable architecture and effective search features for connecting users with nearby service providers.
Findings
Demonstrates a user-friendly search interface.
Shows effective connection between users and nearby service providers.
Highlights scalable system architecture for mobile crowd services.
Abstract
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…
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Caching and Content Delivery · Human Mobility and Location-Based Analysis
