An Intelligent Recommendation System to Enhance the Travel Services

Computer Engineering

Abstract: The tourism industry has specific features that explain its importance for economic growth and its affection toward IT systems. The travel package recommendation system plays a vital role in the tourism industries that analyze the characteristics of travel packages and develop the TAST model. TAST model can effectively collect the personalized characteristics of the travel information. TAST model can depict travel packages and tourists by different topic allocations, where the topic extraction is conditioned on both the tourists and the essential attributes (i.e., locations, travel seasons) of the landscapes. After generating TAST model, we pose cocktail method to create the lists for travel package recommendation. As compare to traditional approach the cocktail approach is more efficient for recommending the travel packages. Also, based on tourist relationships, the automatic travel groups are formed by using TRAST model.

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