Smart Location-Based Tourist Places Recommendation System

Authors

  • Vignesh Hariharan K  UG Student, Department of CSE SSN College of Engineering Chennai, Tamil Nadu, India
  • Santhosh S  UG Student, Department of CSE SSN College of Engineering Chennai, Tamil Nadu, India
  • Sailappan E  UG Student, Department of CSE SSN College of Engineering Chennai, Tamil Nadu, India
  • Prabavathy Balasundaram  Faculty, Department of CSE SSN College of Engineering Chennai, Tamil Nadu, India

Keywords:

Tourism, Selenium, azure maps, Web Scraping

Abstract

This paper proposes a novel tourism application that provides personalized location based recommendation of tourist places. The application consists of two modules, namely Ranking of Places and Tour Guidance. The first module takes user preferences and data from Tripadvisor to provide a ranked list of recommended places using a Hybrid Algorithm. The ratings are given using a weighted average approach. The tour guidance module acts as the interface for the user by devising an interactive and dynamic tour plan. The application receives input from the user regarding his request for a tour plan. The user is provided with recommendations, keeping in mind the preferences of the user, live information and popularity of places. Efficient routing between these places is done with an azure maps API which denotes the places visited and the places yet to visit. The user interface consists of a map where the user can click on the place he wants to visit and can go on visiting places nearby.

References

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International Journal of Scientific Research in Science and Technology

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Published

2021-04-10

Issue

Volume 9, Issue 1, March-April-2021

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vignesh Hariharan K, Santhosh S, Sailappan E, Prabavathy Balasundaram, " Smart Location-Based Tourist Places Recommendation System, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.598-606, March-April-2021.