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INTELLIGENT VISUAL TRAVEL RECOMMENDER SYSTEMS MODEL FOR E-TOURISM WEBSITES

By Nalin Sharda, Roopa Jakkilinki, Mladen Georgievski and Mohan Ponnada
INTELLIGENT VISUAL TRAVEL RECOMMENDER SYSTEMS MODEL FOR E-TOURISM WEBSITES
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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.
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. Reduce

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"Producers are less able to adapt to climate change than consumers, due to fixed investments. However, producers that embrace and adapt to climate change may profit." Climate Change Research Report CCRR-08