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February 28, 2026International Journal of Wireless and Mobile Computing0 citations

Sports tourism information recommendation modelling based on user preference fine granularity and improved LSTM network

LHLiying HeHZHuimin ZhangYWYaping Wang

Key Points

  • The research aims to develop a modelling approach for recommending sports tourism information based on user preferences with fine granularity.
  • Developed an improved LSTM (Long Short-Term Memory) network for data analysis.
  • Analyzed user preference data to enhance recommendation accuracy.
  • Implemented testing and validation of the model using real-world data.
  • Enhanced user satisfaction with sports tourism information recommendations.
  • Demonstrated significant improvements in recommendation accuracy over previous models.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/69a287690a974eb0d3c031f8https://doi.org/10.1504/ijwmc.2025.10076567
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