• Dr.S.Krishnaveni
• Kousiga.V

Recently, recommendation systems have become an active topic. The system also permit showing the user information about interesting attraction in more detail, which is based on analyzing information evaluations made by other users. They are collection of simple algorithms which tend to show most relevant and accurate data as per user's requirement. This paper presents a tourism recommendation system with the integration of the user review element. Based on three factors- number of reviews, rating, and sentiment, the user reviews are analyzed and then used in the recommendation of top most destination for tourists.

User Preference, Predicting, Recommendation system, Collaborative Filtering

"PREDICTING TOP 20 DESTINATION FOR TOURIST RECOMMENDATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.188-193, June-2022, Available :http://www.jetir.org/papers/JETIRFN06031.pdf

"PREDICTING TOP 20 DESTINATION 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. pp188-193, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06031.pdf