A Context-Awareness Dynamic Friend Recommendation Approach for Mobile Social Network Users

Mobile SNS (Social Networking Services) is a hotspot in the current mobile Internet field. Based on the user’s context information like location and surrounding users, it has an important practical significance to dynamically recommend friends for mobile SNS users by mining the potential social relations. By combining the context-awareness, community division and ontology modeling, this paper presented a context-awareness dynamic friend recommendation approach for mobile SNS users, and the evaluation criterion of community division precision was given. This approach successfully addressed the user’s dynamic feature and the sparseness of the existing social relations in the current mobile social networking sites. It has a positive significance to the development of the mobile social networking services. Finally, the rationality and effectiveness of this approach are verified based on a data analysis of a real SNS network site.