Title: Personalised recommendation method of tourist routes based on multi-constraint and multi-objective

Authors: Qiang Yang; Yueyun Lai

Addresses: College of Trade and Tourism, Hangzhou vocational and Technical College, Hangzhou 310018, China ' College of Trade and Tourism, Hangzhou vocational and Technical College, Hangzhou 310018, China

Abstract: In order to improve the accuracy of personalised recommendation of tourist routes and shorten the time-consuming of personalised recommendation, a multi-constraint and multi-objective based personalised recommendation method for tourist routes is proposed. Firstly, we collect tourist attraction information, calculate the arrival time, stay time, travel cost, valid itinerary and other parameters between tourist attractions, and calculate the scenic spot score. Secondly, under the constraints of multiple objective parameters of travel time, itinerary and cost, the objective function of personalised recommendation of travel routes is constructed. Finally, the greedy algorithm is used to solve the objective function of personalised recommendation of tourist routes, and the personalised recommendation results of tourist routes are obtained. The experimental results show that the method in this paper can improve the accuracy of personalised recommendation on the basis of shortening the time-consuming of personalised recommendation, and the recommendation accuracy always remains above 90%.

Keywords: multi-constraint and multi-objective; tourist routes; personalised recommendation; greedy algorithm.

DOI: 10.1504/IJRIS.2024.138625

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.2, pp.118 - 124

Received: 26 Sep 2022
Accepted: 22 Nov 2022
Published online: 18 May 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article