A multi-objective optimisation algorithm for rural tourism route recommendation
by Yuping Lu
International Journal of Information and Communication Technology (IJICT), Vol. 21, No. 2, 2022

Abstract: In order to solve the problems of low accuracy and lengthy time consumed in traditional rural tourism route recommendation methods, a recommendation method for rural characteristic tourism route based on multi-objective optimisation algorithm is proposed. The specific opening time, ticket price and GPS coordinates of different scenic spots are extracted to obtain the comprehensive evaluation of rural scenic spots. The optimal recommendation list is obtained by multi-objective optimisation algorithm, and the candidate set of rural characteristic tourism routes is formed through the recommendation algorithm to realise the recommendation of rural characteristic tourism routes. The experimental results show that the accuracy of the proposed method is up to 99%, the recommendation time is always less than 5.5 min, and the recommended route cost is low, which verifies the feasibility of the proposed method.

Online publication date: Tue, 09-Aug-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Communication Technology (IJICT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com