Random Forest with Harmony Search Optimization for Location Based Advertising

Abstract

Location based services are essential for the mobile user for obtaining the information based on the specific location. Initially, the location information is obtained using the GIS system for getting accurate information about the location. Then relevant information is extracted based on the location then the features are extracted from the dataset. Extracted features are segmented in order to simplify the process of location based advertising. The segmented features are used for simplifying the processing of retrieved data. The random forest algorithm is utilized to effectively retrieve the user data. It is one of the Meta heuristic algorithms which provide best result for the retrieval process. The optimal solution is needed for the designed algorithm for the purpose of avoiding local optimization, thus it improves the performance with respect to accuracy. The optimization algorithm Harmony search is used for getting optimal result based on the location. The exact information for the query is obtained for the proposed approach based on the location.