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Title: Deep learning and AI technology for the integrated development of urban-rural cultural tourism and sports services

Authors: Lin Song

Addresses: School of Physical Education and Health, Jiangxi Science and Technology Normal University, Nanchang, 330038, China

Abstract: In the context of artificial intelligence-driven cultural tourism and sports services, this study explores the intelligent recommendation methods for the integration of urban and rural cultural tourism and sports services. The purpose is to optimise the efficient matching of user demands and cultural tourism and sports resources between urban and rural areas. A recommendation model based on deep learning (DL) is proposed, integrating the graph attention network, bidirectional long short-term memory for dynamic interest modelling, and the dual duel deep Q network. This study confirms the remarkable advantages of DL technology in intelligent recommendation in the context of cultural tourism and sports services; it provides a scientific solution for optimising the allocation of cultural tourism and sports services resources and improves service accuracy, thus offering important inspirations for the intelligent evolution of smart public services.

Keywords: urban and rural cultural tourism; sports service; intelligent recommendation; deep learning; graph attention network; GAT; dual duel deep Q network.

DOI: 10.1504/IJART.2026.154757

International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.190 - 208

Received: 10 Mar 2026
Accepted: 10 May 2026
Published online: 13 Jul 2026 *