Tourism Infomercial Analyzer for Metro Vigan, Philippines
Ana Leah Arquelada Alconis1, Amando Pimentel Singun Jr.2
1Ana Leah Arquelada Alconis, University of Northern Philippines.
2Dr. Amando Pimentel Singun Jr., Higher College of Technology, Muscat.
Manuscript received on 02 June 2019 | Revised Manuscript received on 27 June 2019 | Manuscript Published on 04 July 2019 | PP: 85-89 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10170681S419/2019©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: Tourists are attracted to traveling to the historic places of the Philippines such as Vigan, which is the home of one of the New Seven Wonder Cities of the world. Tourism in Vigan has experienced continued growth and development. Today it has become a great challenge to meet and satisfy the needs and demands of tourists in getting vital information on the various tourism industries. When a large number of tourists is arriving at the same time, the Ilocos Sur Provincial Tourism Office, the forefront of the province, has been experiencing difficulty in catering all the information needs of such tourists. All of these may cause an adverse impact on tourism. To remedy such a problem, the Tourism Infomercial Analyzer system is designed and developed with features of an infomercial, travel router, and analyzer. The system aims to advertise, educate, and promote the province to the world. Likewise, it showcases the hidden beauty of the place and provides a detailed explanation about the province, its attractions, accommodations, and native commodities. Moreover, the system is designed to assist tourists with the possible land routes to reach crisscrossing destinations. Finally, the system is the most prominent product of Expert System suited to advertise and promote all tourist destinations in Metro Vigan.
Keywords: Tourism, Infomercial, Recommender, Analyzer, Itinerary Planner, Advertisement, Promotion, Marketing, Content-Based Filtering, Random Forest Algorithm.
Scope of the Article: Marketing and Social Sciences