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  Published Paper Details:

  Paper Title

Tourism Recommendation System

  Authors

  Satwik Vijay Berde,  Harshad Dipak Shinde,  Pratik Sanjay Gurav,  Shubhankar Mahesh Mane

  Keywords

Personalized recommendations, Machine learning algorithms, Travel Planning and User feedback services.

  Abstract


One of the most troublesome parts of coordinating an excursion is choosing where to go in view of the data that is all open on the web and through different sources. It's an issue that past the travel industry Proposal Framework have endeavored to address. The functional and convenience parts of the undertaking, as well as a portion of the more specialized ones, like exactness of the framework, have both had been disregarded. To take care of this issue, a total comprehension of travelers' navigation and new plans empowering their data search is required. A creative human focused the travel industry Suggestion Framework is proposed in this exploration to help voyagers in another city in picking what to see and do. A certifiable informational index is utilized for both expert and functional contemplations. To restrict the quantity of contributions to the framework, the framework is developed using two-steps include choice procedure, and ideas are given utilizing Count Vectorizer and Tfidf Vectorizer Trial proof shows that the monetary the travel industry Proposal Framework can offer vacationer puts that are custom-made to the inclinations of the clients.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2403978

  Paper ID - 253790

  Page Number(s) - i224-i238

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Satwik Vijay Berde,  Harshad Dipak Shinde,  Pratik Sanjay Gurav,  Shubhankar Mahesh Mane,   "Tourism Recommendation System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.i224-i238, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403978.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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