Title: Personalised leisure tourism route recommendation method based on knowledge map

Authors: Chunhua Wang

Addresses: College of Culture and Tourism, Jiangsu Vocational Institute of Commerce, Nanjing 211168, China

Abstract: In order to improve the efficiency of tourism route recommendation, this paper introduces knowledge map and designs a personalised leisure tourism route recommendation method based on knowledge map. Firstly, we build a leisure tourism route knowledge map, generate a tourism route database through tourism notes, and then we search the candidate tourism route sequence in the database. Finally, based on the comprehensive analysis of the attributes of tourists, such as travel time and user category, we determine the score of candidate tourism routes according to the value of tourist attractions, user category, and user preference, and take the three routes with the highest score as the recommendation result. The experimental results show that this method can complete the recommendation of tourist routes in about 10 s, and can significantly increase the number of tourists in the scenic spot, with an average increase of nearly 10%, which has certain application value.

Keywords: knowledge map; personalisation; leisure tourism; route recommendation; data mining; user preference.

DOI: 10.1504/IJRIS.2024.137440

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.1, pp.37 - 42

Received: 06 Apr 2022
Accepted: 22 Nov 2022
Published online: 19 Mar 2024 *