Intelligent Travel Advisor System (ITAS)
Mohamad Firdaus Che Abdul Rani1, Nor Azlina Abd Rahman2, Khalida Shajaratuddur Harun3
1Mohamad Firdaus Che Abdul Rani is a lecturer at Asia Pacific University of Technology and Innovation (APU), Malaysia.
2Nor Azlina Abd Rahman is is a lecturer at Asia Pacific University of Technology and Innovation (APU), Malaysia.
3Khalida Shajaratuddur Harun Rahman is is a lecturer at Asia Pacific University of Technology and Innovation (APU), Malaysia.
Manuscript received on August 14, 2013. | Revised Manuscript Received on August 19, 2013. | Manuscript published on August 20, 2013. | PP: 27-32 | Volume-1, Issue-9, August 2013. | Retrieval Number: I0285081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & 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: This paper is discussing on Intelligent Travel Advisor System (ITAS) Framework. The purpose of this system is to help the tourist to plan their trip based on budget, tourist spots or any criteria that they want to base on. Several similar systems reviewed such as TripAdvisor, Priceline and Expedia Inc to identify the functionalities, strength and weaknesses of the existing system. Overall ITAS system architecture discussed that includes user terminals, ITAS and payment Agencies. ITAS components are highlighted which are web crawling, database and secure network. The process that involve in ITAS divided into three parts which are input process that accept the criteria of searching, system process that match the input with certain websites by using web crawler and output process that will display the information that match with user’s input. Besides that this paper is also discussing on the impact of ITAS to the tourists and society.
Keywords: advisor; intelligent; trip; tourist; Web Crawler.