Research on sns real-time search sorting algorithm based on user context

With the development of mobile social network, traditional search engines have not met the users' needs of real-time search because of inadequacy of real-time information such as users' location and events. A real-time search model based on mobile social network is introduced in this study. According to the characteristics of social network under multi-element context, the model sorts the search results by user context such as time, location, relation and attention and user weight. Taking PageRank algorithm based on hyperlinks page rank as reference, a new algorithm, SocialRank is put forward in user weight counting. The experiment results show that the model improves real-time and relevance of search results greatly in time and location. © 2013 Asian Network for Scientific Information.