Design of an AI-Empowered Recommender System for Travelling Support: Individual Traveler as an Instance
Kuan-Hua Lai, Neil Yuwen Yen, Mu‐Yen Chen · 2018
There are many things, which are often time-consuming, need to be prepared for individuals who travel by themselves. There are lots of recommendation systems built to support such type of travel. For instance, Skyscanner compares the fight ticket, recommends the cheapest ticket and provides booking flight ticket service. This paper targets to support individual traveler while arranging travel itinerary and travel-related issues through a newly proposed intelligent framework. This framework employs the techniques of artificial intelligence, collaborative filtering, Term Frequency-Inverse Document Frequency, and optimization algorithms. Systems, with support of our framework, may automatically suggest possible itineraries to individual travelers, save time for making arrangement, and reach personalization.