A fast algorithm for personalized travel planning recommendation

• Main Authors: GUNAWAN, Aldy, LAU, Hoong Chuin, LU, Kun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Recommender System; Tourist Trip Design Problem; Team Orienteering Problem with Time Windows; Iterated Local Search; Artificial Intelligence and Robotics; Computer Sciences; Tourism and Travel
• Online Access: https://ink.library.smu.edu.sg/sis_research/3405; https://ink.library.smu.edu.sg/context/sis_research/article/4406/viewcontent/FastAlgorPersonlizedTravel_PATAT_2016.pdf
• Institution: Singapore Management University

With the pervasive use of recommender systems and web/mobile applications such as TripAdvisor and Booking.com, an emerging interest is to generate personalized tourist routes based on a tourist’s preferences and time budget constraints, often in real-time. The problem is generally known as the Touri...