An Assessmentof Cocktail Methodology for Travel Package Recommendation

An Assessmentof Cocktail Methodology for Travel Package Recommendation
Author(s):
Madi Reddy Vijay Reddy
Keywords:
Travel package, recommender systems, cocktail, topic modeling, collaborative filtering
Abstract
In this paper firststudy the properties of the old travel packages and develop a tourist-area-season topic (TAST) model. This TAST model signifiesdissimilar travel packages and different topic distributions of tourist, the topic extraction is stated on both the tourists and the natural characteristics of the landscapes. Agreeing to the topic model representation, a cocktail approach is generated so that to form lists for personalized travel package recommendation. The TAST model is protracted to the tourist-relation-area-season topic (TRAST) model for collecting the relationships among the tourists for all travel groups. Then study TAST model, TRAST model, and cocktail recommendation approach on the current travel package data. The TAST model can effectively grabs the individual characteristics of travel data and cocktail approach, so it is more efficient than old recommendation techniques for travel package recommendation by including tourist relationships, TRAST model is used as an effective evaluation for travel group formation.
Article Details
Unique Paper ID: 144474 Publication Volume & Issue: Volume 1, Issue 7 Page(s): 684 - 687
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