uHelp: intelligent volunteer search for mutual help communities
Nardine Osman, Bruno Rosell, Carles Sierra, Marco Schorlemmer, and Jordi Sabater-Mir, Lissette Lemus

TL;DR
uHelp is an AI-driven platform that intelligently finds trustworthy volunteers within social networks for community assistance, using novel trust-based algorithms and semantic models to enhance volunteer matching.
Contribution
The paper introduces innovative trust-based algorithms and models that improve the accuracy and reliability of volunteer selection in social community platforms.
Findings
Prototype tested with single parents in Barcelona
Effective trust-based volunteer matching demonstrated
Platform available on major app stores
Abstract
When people need help with their day-to-day activities, they turn to family, friends or neighbours. But despite an increasingly networked world, technology falls short in finding suitable volunteers. In this paper, we propose uHelp, a platform for building a community of helpful people and supporting community members find the appropriate help within their social network. Lately, applications that focus on finding volunteers have started to appear, such as Helpin or Facebook's Community Help. However, what distinguishes uHelp from existing applications is its trust-based intelligent search for volunteers. Although trust is crucial to these innovative social applications, none of them have seriously achieved yet a trust-building solution such as that of uHelp. uHelp's intelligent search for volunteers is based on a number of AI technologies: (1) a novel trust-based flooding algorithm…
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Taxonomy
TopicsOpportunistic and Delay-Tolerant Networks · Access Control and Trust · Context-Aware Activity Recognition Systems
MethodsNone
