Call For Paper Volume:7 Issue:5 May'2020 |


Publication Date : 02/05/2016

Author(s) :

Khairnar Pornima , Chhajed Bhagyashri , Jadhav Ashwini , Jadhav Nikita.

Conference Name :
International Conference on Recent Trends in Engineering and Technology

Abstract :

Providing better travel services for tourists is one of the important applications in urban computing. The worlds is of commerce, travel, entertainment, and Internet technology are linked, different types of business data is accessible for innovative use and regular analysis. Here it provides a study of utilizing online travel information for the personalized travel package recommendation. First analyze the properties of the old travel packages and develop a tourist-area-season topic (TAST) model. This TAST model represents different travel packages and different topic distributions of tourist, the topic extraction is stated on both the tourists and the natural characteristics of the landscapes. According to the topic model representation, a cocktail approach is generated so that to form lists for personalized travel package recommendation. The TAST model is extended to the tourist-relation-area-season topic (TRAST) model for collecting the relationships among the tourists for all travel groups.

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