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Thailand travel recommender system

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dc.contributor.advisor Guha, Sumanta en_US
dc.contributor.author Chadaporn Keatmanee en_US
dc.contributor.other Phan Minh Dung (Member) en_US
dc.contributor.other Dailey, Matthew N. (Member) en_US
dc.date.accessioned 2015-01-12T10:41:33Z
dc.date.available 2015-01-12T10:41:33Z
dc.date.issued 2011 en_US
dc.identifier.other AIT Thesis no.CS-11-02 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/398
dc.description Submitted in fulfillment of the requirements for the degree of Master of Engineering in Computer Science. en_US
dc.description.abstract The research work is mainly focusing on the development of a web based Recommender System; Thailand Travel Recommender system(TTR); that can assist and facilitate users by recommending the appropriate travel product e.g. destination, accommodation, restaurant and transportation to them, based on the user’s preference and creating user profile to judge and recommend according to what user might be interested in. This system will recommend the tourist, the best and most appropriate travel products by analyzing user profile, user ratings and the users history. It also deals with understanding the data mining techniques especially the K-means algorithm for clustering the data which uses Euclidean distance measure to compute the distances between instances and clusters. en_US
dc.description.sponsorship RTG Fellowship en_US
dc.language.iso eng en_US
dc.publisher Asian Institute of Technology en_US
dc.subject Recommendation system en_US
dc.subject Tourism en_US
dc.subject.lcsh Others en_US
dc.title Thailand travel recommender system en_US
dc.type Thesis en_US
dc.rights.holder Copyright (C) 2011 by Asian Institute of Technology. en_US


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