Grasshopper Optimization and Clustering Based Web Page Personalization
P.Pranitha1, M.A.H. Farquad2, G. Narshimha3
1S. P. Pranitha, Research Scholar, JNTUH, Hyderabad (Telangana), India.
2M.A.H. Farquad, Assistant Professor, Faculty of Computers and Information Systems, Islamic University of Madinah, Saudi Arabia
3G. Narshimha, Professor and Head of the Department of CSE, JNTUH College of Engineering Sulthanpur (Telangana), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1901-1907 | Volume-8 Issue-4, April 2019 | Retrieval Number: D7015048419/19©BEIESP
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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: Many IT industries are adopting collaborative tools to brand their connections with varieties of IT users. Nevertheless, the propagation of web based interaction services with world-wide-web as well as Information Technology based work on user’s web browsing based model for unique user service is nominal. Thus, it becomes an issue or bottleneck to give unique customer satisfaction needs. Consequently, the online service based companies can adopt the user exclusive needs for business policies to get more users. Initial stages is search request expansion stages in this stages input search request is given as input the main aim of search request expansion stage is it will allow the relevant pages that do not contain the search request terms next stages is a preprocessing stages it is used to collect a visited web pages and the web page are converted in to numerical matrix then it is to be clustered with the aid of Cuckoo Search-Kernel Fuzzy C-Means Clustering (CS-KFCM). In this method is used to generate a vector for user search request and then find a far between users a vector, next to choose a minimum far centroid. Finally the Grasshopper Optimization is used to optimize a best top n number of pages. The application will be done in JAVA and the procedure of the proposed method will be analyzed with numerous available systems.
Keywords: Information System Work, Secrecy, Search Request Expansion, Preprocessing, Cuckoo Search, Kernel Fuzzy C-Means Clustering, Grasshopper Optimization
Scope of the Article: Clustering