情景感知的物联网服务推荐方法研究

如何根据用户实时的情景高效地为其推荐最为合适的物联网服务，已经成为当前服务计算与物联网领域亟需解决的关键问题之一。针对这一问题，提出了一种基于情景感知的物联网服务推荐方法。首先基于改进的FolkRank算法生成当前用户可用的物联网服务列表；之后，依据用户当前关键的情景构建用户情景信息模型，根据用户的情景模型从服务列表中筛选出最能满足用户当前情景的物联网服务。实验结果表明，所提出的情景感知的物联网服务推荐方法是可行的与有效的。

Research on context-aware IoT services recommendation

To recommend the most suitable IoT services for target user, some approaches has proposed in the field of service recommendation. However, with the increase of services data, existing methods may not guarantee that better recommendation performance can be achieved, which ignore real-time context information of users. To solve the problem, this paper proposed a method based on context-aware IoT service recommendation. The method, based on improved FolkRank algorithm, firstly generated a list of IoT services which were available to the current user. Then the user context information model was constructed according to the current critical context of user. Finally, the IoT services that best match the current context were filtered out from service list according to user context information model. The experimental results show that the proposed context-aware IoT service recommendation method is feasible and effective.