Tourist Destination Recommendation System Based on User Facebook Profile

Dalal, Ankita (2017) Tourist Destination Recommendation System Based on User Facebook Profile. Masters thesis, Dublin, National College of Ireland.

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Abstract

Technology is finding its feet in the travel industry in last few years. This advancement in the field of technology has led to endless sources of tourism related information. Social media like Facebook is one of such sources. People share their experience and reviews on Facebook on a daily basis. This paper proposes a system which automates the dreaming stage, i.e., suggesting a destination to the tourist. Our main contribution is suggesting destination to the tourist by studying his Facebook profile. A separate recommendation system is designed which suggests destination using collaborative filtering i.e. based on other tourist's experience. The user profile is then compared with other tourist profiles. The recommendation is provided based on choices made by the other user whose profile matches with the target user.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software T Technology > T Technology (General) > Information Technology > Cloud computing Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4150 Computer Network Resources > The Internet > World Wide Web > Websites > Online social networks T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > The Internet > World Wide Web > Websites > Online social networks
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Caoimhe Ní Mhaicín
Date Deposited:	22 Nov 2017 09:20
Last Modified:	22 Nov 2017 09:20
URI:	https://norma.ncirl.ie/id/eprint/2882

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