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October 18, 2025Deleted JournalOpen Access

Tourism route planning recommendation algorithm based on attention mechanism and multi-dimensional portrait scenarios

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Authors

JCJunhua CaoFDFang Deng

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Overview

Algorithm improves path planning accuracy to 97.1% in tourism, suggesting enhanced user satisfaction.

Key Points

  • The proposed tourism path planning method achieved a high accuracy of 97.1% and improved user satisfaction.
  • With a recommendation error rate of only 0.23%, the algorithm outperformed existing path planning methods.
  • The planning time for the optimized method was only 1.2 seconds, indicating its efficiency for real-time tourist needs.
  • Satisfaction with the recommended route reached 97.4%, highlighting the algorithm’s effectiveness in enhancing tourism experiences.

Cite This Study

Cao et al. (2025) studied this question.

synapsesocial.com/papers/68f3793258f37cefb60d347bhttps://doi.org/10.1007/s10791-025-09752-6
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