Title: Intelligent tourism route recommendation method based on big data

Authors: Lindi Zhang

Addresses: School of Information and Technology, Nantong Normal College, Nantong 226010, China

Abstract: In order to solve the problems of low recommendation accuracy and long recommendation time of traditional intelligent tourism route recommendation method, an intelligent tourism route recommendation method based on big data is proposed. According to the preference information of tourists and the prior information of historical tourism, the big data information collection model of the preference distribution of tourists to historical tourism routes is constructed. The association rule scheduling method is used to match the tourist route and the tourist personalised preference, and the statistical feature quantity of the tourist personalised route preference is extracted according to the results. Analyse the characteristics and realise the recommendation of intelligent tourism route. The experimental results show that this method takes less than 1.5 s to recommend smart travel routes. The recommendation time is shortened and the recommendation error is small, which improves the accuracy of tourism route recommendation.

Keywords: big data; intelligent tourism route; recommendation; information fusion.

DOI: 10.1504/IJAACS.2020.112609

International Journal of Autonomous and Adaptive Communications Systems, 2020 Vol.13 No.4, pp.329 - 341

Received: 08 Oct 2019
Accepted: 05 Dec 2019
Published online: 22 Jan 2021 *

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