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June 6, 2026SAGE OpenOpen Access

Smart Tourism: AI-Driven Personalization in Tourism: Enhancing Customer Experience Through Machine Learning Algorithms

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Authors

YWYingjie Wang

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Overview

Randomized trial shows significant improvement in tourist satisfaction and personalization accuracy, indicating a better experience for travelers.

Key Points

  • This research aims to enhance customer experience in tourism through an AI-driven personalization framework.
  • Developed a multi-dimensional AI framework utilizing machine learning algorithms.
  • Employed transformer-based neural networks and reinforcement learning for real-time adaptation.
  • Analyzed interactions from 2.3 million users across 15 nations during a large deployment.
  • Recommendation accuracy for single-item recommendations improved by 78%.
  • Personalization accuracy increased to 91.2%.
  • Satisfaction scores rose by 65% compared to conventional systems.

Cite This Study

Yingjie Wang (2026) studied this question.

synapsesocial.com/papers/6a23bb2071a5da9775e76bd4https://doi.org/10.1177/21582440261427774
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1USING AI TO PERSONALIZE TOURISM EXPERIENCES. THE ROLE OF ARTIFICIAL INTELLIGENCE IN CREATING CUSTOMISED TOURISM PRODUCTS AND SERVICES2025
  2. 2Smart Tourism: The Role of AI and Data Analytics in Shaping Traveler Behavior and Preferences2025
  3. 3Enhancing Tourists' Satisfaction: Leveraging Artificial Intelligence in the Tourism Sector2024 · 51 citations
  4. 4The Use of Artificial Intelligence for Personalizing the Tourism Experience2025 · 1 citations
  5. 5AI-driven Voyages: Redefining Tourism in the Age of Smart Technology2024