Exploring Automated Systems for Planning Travel Itineraries
Year: 2024
Type: article
Abstract: This paper presents a comparative survey of au- tomated travel itinerary planning systems, focusing on systems that use artificial intelligence and machine learning to personalizetravel experiences. By examining three recent papers, we identifycore features, strengths, and limitations across various trip planning technologies, including traditional POI-based itinerary planners, generative AI tools like ChatGPT, and community- based travel management apps. This survey highlights the poten-tial and limitations of current systems, shedding light on future research directions.
Authors: Abhiram H R, Aravind SK, Bharath R Sindhe, Charan G S, Vanishri Sataraddi
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W6949159915
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