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Intelligent Visual Travel Recommender Systems Model for E-Tourism Websites

The methodology used in this research included: theoretical study of new web technologies and standards, development of new e-Tourism models and their prototype implementations, followed by comparative analysis of various implementation options. This report gives the model of an Intelligent Visual Travel Recommender Systems (IV-TRS), which uses Semantic Web technologies to help create efficient and easy to use e-Tourism websites for tour planning.

by Nalin Sharda, Roopa Jakkilinki, Mladen Georgievski and Mohan Ponnada

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Intelligent Visual Travel Recommender Systems Model for E-Tourism Websites

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