Intelligent Travel Guide: A Travel Recommender System

Authors

  • Mr. Shlok Jambusariya
  • Ms. Pragati Yadav
  • Mr. Mit Virani
  • Ms. Pranali Wagh

Keywords:

ChatBot, Clustering, Data mining, Recommender systems, Tourism

Abstract

The hassle of deciding on a travel destination is often overlooked by travel websites. Travellers, a lot of times, do not have a clear idea of where they want to travel to. We aim on solving this problem by introducing a chat bot system that can recommend travel destinations based on minimal information from the traveller. Another interesting feature of the project is its itinerary generator. The system aims on providing a human-like user experience through the use of a chatbot interface. The interface interacts with the user to retrieve information about the user’s details like travel date, number of children and adults travelling and the budget of travelling. The user’s budget will be the main focus of this application as we want to give the end-user the best travel experience based on their particular budget. The recommender also takes other external factors such as the season, previous traveller experiences and weather into consideration. Incorporating these factors ensure that the most optimal destination is recommended to the user. As per the recommendation, the user can opt to get several itineraries to choose from. The itinerary generator also takes several external factors into consideration when generating an itinerary. The choice of itineraries vary in the choice of places and in activities according to budget and other external factors.

Published

2022-04-26

Issue

Section

Articles