An approach to a location context awareness service prediction algorithm

With the advances of mobile Internet, Location-based Services have been a hot spot in the filed of mobile business. However, how to improve the accuracy and efficiency on the location-based services discovery becomes more and more important for the researchers in the field of personalized service recommendation. In this paper, it proposes a location context awareness service prediction model under mobile Internet environment, which is designed to achieve the requirement of the user exactly according to the location context and preference. For each user has his own preference, a dynamic calculation function for the weight of each attribute is described in this paper. Finally, taking the Hotel Reservation Service as an example, the algorithm completes the verification stages of service prediction method on accuracy and efficiency.