Research on intelligent tourism management based on wireless network development

Issue title: Special Section: Intelligent & fuzzy theory in engineering and science

Guest editors: Teresa Guarda, Isabel Lopes and Álvaro Rocha

Article type: Research Article

Authors: Shi, Yongqiang^a | Liu, Zheng^a | Chen, Li^a | Li, Wei^{b; *}

Affiliations: [a] Department of Tourism and Management, Taiyuan University, Shanxi, China | [b] Huangshan Global Geopark Management Committee, Huangshan, Anhui, China

Correspondence: [*] Corresponding author. Wei Li, Huangshan Global Geopark Management Committee, Huangshan, Anhui, China. E-mail: hvhnx044@163.com.

Abstract: With the development of China’s Internet, wireless network technology has been upgraded, and the rapid development of wireless network technology requires more advanced intelligent information processing technology to match. Therefore, based on the development of wireless network, this paper proposes intelligent tourism Management scheme. Firstly, the Wide & Deep Learning exploratory tourism route recommendation model was constructed. Then the Wide & DSSM exploratory recommendation algorithm combining the traditional recommendation algorithm with the depth model was proposed. Finally, the model and algorithm were tested through experiments. In this paper, the algorithm was used to study the semantic space vectors of both the user dimension and the Travel line dimension, and the data of the user dimension was fully utilized, which brought a significant improvement to the performance of the recommended system.

Keywords: Wireless network, intelligent tourism, recommendation, tour route

DOI: 10.3233/JIFS-179186

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 5, pp. 6039-6046, 2019