关键词: 移动情景, 服务推荐, 移动众包, 轨迹预测, 任务推荐

Abstract: With the rapid development of mobile Internet and the rapid popularization of intelligent terminal equipment, service types and service contents are changing with each passing day, which brings serious mobile information overload problem for mobile users. How to provide better service recommendation for users is a difficult problem to be solved. This paper proposes a mobile scenario and user trajectory awareness crowdsourcing service recommendation strategy. Firstly, the location coordinates in the history log are clustered into regions by clustering algorithm, and then the trajectory patterns of users are mined in different mobile scenarios, and the movement rules are extracted and the scenarios of each rule are judged. When recommending crowdsourcing services, the user's upcoming location area is predicted by real-time perceived location trajectory and mobile scenario information, thus the crowdsourcing services in the area are pushed to the user. The forecasting method proposed in this paper avoids the additional cost of the time, journey and cost of the users to perform the task. It can recommend more suitable tasks to the users and improve the satisfaction of the users service.

Key words: mobile context, service recommendation, mobile crowdsourcing, trajectory prediction, task recommendation