基于情境分析的移动社交网络群体任务分配

Task assignment of mobile social network crowds based on situation analysis

移动在线社交网络用户具有移动性、复杂性、实时性等特征,为更加准确实时地为移动在线用户群体分配适合的群体任务,设计一种面向移动在线社交用户群体的任务分配架构,提出一种基于情境分析的用户适合度任务分配算法,通过分析移动社交用户的操作行为和历史信息为其分配更适合的任务,提高整体用户群体的任务完成度和满意度。群体评估实验验证了所提方法在有效性、准确性和实效性等方面有明显优势。

Mobile online social network users have the characteristics of mobility,complexity and real-time.To assign suitable crowd computing tasks for mobile online user crowds more accurately and in real time,a task assignment framework for mobile online social user crowds was designed,and a user fitness task assignment algorithm based on situation analysis was proposed.The mobile social user’s behaviors and historical information were analyzed to assign a more suitable task to improve the task completion and satisfaction of the whole user crowds.Crowd assessment experiments verify that the proposed method has obvious advantages in terms of validity,accuracy and real-time performance.