Task distribution method considering user heteroplasmy and user preference in crowdsourcing system

The invention discloses a task distribution method considering user heteroplasmy and user preference in a crowdsourcing system; the method considers task budget, user heteroplasmy and user preference, and uses a multi-to-one matching mechanism to find the best user-task match; the core of the method is that in the whole algorithm operation process, quality sum non-reduction of each task can be completed; the method provides a novel distribution thinking and specific scheme for the crowdsourcing system, thus solving the problems that an existing crowdsourcing system task distribution strategy cannot consider user heteroplasmy and user preference; the matching result by the algorithm has individual rationality and fairness, and has no wasteness. 本发明公开了种众包系统中兼顾用户异质性与用户偏好的任务分配方法，该方法权衡任务的预算、用户异质性以及用户偏好，基于多对匹配机制，找到最佳的用户-任务匹配；该分配方案的核心在于，在算法运行的整个过程，每项任务的完成质量总和非减。本发明方法为众包系统提供了种新的分配思路和具体方案，克服了当前的众包系统任务分配策略未考虑用户异质性和用户偏好的问题，由本发明算法得到的匹配结果具备个体理性、公平性且不浪费性等特点。