• Dr.S.Krishnaveni
• K.V.Vivethaa

This paper focused on building personalized recommendation system for customers according to their travel style. Every traveller has their very own specific journey style that reflects the character, and thanks to the fashion, human beings explore a foreign united states in a way that suits them the excellent. There is no widespread high-quality way to travel, handiest a style that suits your values and life-style. This paper makes a specialty of how visitors prioritize their alternatives in making a very last selection on their holiday destination and journey conditions, particularly on how they recall the 'all-inclusive' travel mode. Travel choices are complex phenomena, and hence cumbersome to address in complete width in diagnostic and strategic making plans approaches. The aim of the present research turned into to explore to what volume person options may be simplified into structures, and if tourists can be grouped into preference clusters which are viable and practically applicable for tourism making plans.

Traveller, Tourist style, Google Collab, Matrix Factorisation.

"FIND THE TRAVEL STYLE OF THE TOURIST FOR TOURIST RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.47-53, June-2022, Available :http://www.jetir.org/papers/JETIRFN06007.pdf

"FIND THE TRAVEL STYLE OF THE TOURIST FOR TOURIST RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp47-53, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06007.pdf