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By eectively reaching out to and engaging larger population of mobile users, mobile crowd-sourcing has become a strategy to perform large amount of urban tasks. The recent empirical studies have shown that compared to the pull-based approach, which expects the users to browse through the list of tasks to perform, the push-based approach that actively recommends tasks can greatly improve the overall system performance. As the eciency of the push-based approach is achieved by incorporatingdoi:10.1145/3191748 fatcat:yzfqwtyrojg43hm2eyy4rogj2i