Title: Research on intelligent recommendation of ecotourism path based on popularity of interest points

Authors: Yong-mei Song; Yang Dong

Addresses: School of Management, Xi'an University of Science and Technology, Xi'an 710054, China; Research Center for Western Tourism Development, Xi'an University of Science and Technology, Xi'an 710054, China ' Beijing Zhongjinghetian Ltd., Beijing, 100096, China

Abstract: In order to overcome the problems of low accuracy, low recall rate and low popularity of current methods when recommending ecotourism paths for users, an intelligent recommendation method of ecotourism paths based on the popularity of interest points is proposed. This method uses distributed collaboration to crawl the data existing in the tourism website to obtain the data of tourist attractions and paths, takes the interest point and popularity as the optimisation objectives to construct the interest point-transfer argot semantic model, and uses ant colony algorithm to solve the interest point-transfer argot model to realise the intelligent recommendation of ecotourism paths. The experimental results show that the precision rate of the proposed method is close to 80%, and the average recall rate is about 75%. It shows that the closer the actual interest is to the recommendation result, the popularity is close to 5.0, and the precision, recall rate and popularity are improved.

Keywords: interest point; popularity; ecotourism path; ant colony algorithm; tourism website; interest point-transfer; argot semantic model.

DOI: 10.1504/IJICT.2022.123160

International Journal of Information and Communication Technology, 2022 Vol.20 No.4, pp.423 - 438

Received: 05 Aug 2020
Accepted: 28 Sep 2020
Published online: 01 Jun 2022 *

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