An accurate recommendation method of tourism route based on crawler technology Online publication date: Sat, 18-May-2024
by Hui Wang
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 16, No. 2, 2024
Abstract: A new accurate tourism route recommendation method based on crawler technology is proposed in order to solve the problems of low coverage and long time-consuming of traditional tourism route recommendation methods. Firstly, the process of crawler technology was analysed, and the crawler technology was used to crawl and collect the publicly available tourism demand data in the tourism website. Secondly, the correlation matrix between tourists and tourist routes was constructed, and the interest characteristics of tourist routes were calculated according to the feature sequence. Finally, the candidate tourist route set is generated according to the interest correlation parameters between tourists' travel time and scenic spots, sorted according to the interest, and the route most in line with the interest was recommended to tourists. The experimental results show that the proposed method is compared with the traditional recommendation methods. Its recommended route has a higher coverage and shorter recommendation time.
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