Random Forest with Harmony Search Optimization for Location Based Advertising
Vinita Rohilla1, Sudeshna Chakraborty2, Rajiv Kumar3
1Vinita Rohilla, Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh – 201306.
2Dr. Sudeshna Chakraborty, Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh – 201306.
3Dr. Rajiv Kumar, L. Bajaj Institute of Technology and Management, Department of Computer Science and Engineering, Greater Noida.
Manuscript received on 31 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 1092-1097 | Volume-8 Issue-9, July 2019 | Retrieval Number: I7761078919/19©BEIESP | DOI: 10.35940/ijitee.I7761.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Location Based Services, Data Retrieval, Random Forest, Harmony Search.
Scope of the Article: Software Engineering Decision Support