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August 22, 2025Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Open Access

Optimizing Tourism Recommendations with a Hybrid Model: Bridging User Preferences and Behavioral Patterns

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Authors

RHRifqi HammadMAMuhammad Khifzhon AzwarMSMuh Syarif

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Overview

Hybrid model improves recommendation accuracy in tourism by integrating user preferences and behavioral patterns.

Key Points

  • The hybrid model significantly boosts recommendation accuracy to 94.31% compared to 53.96% of the standalone approaches.
  • Key metric indicates that the integration of content-based filtering and association rules is effective for data-driven tourism recommendations.
  • The approach combines various embeddings techniques with Apriori rules, enhancing the relevance of tourist destination suggestions.
  • Integrating these systems may pave the way for more personalized and effective tourism applications, bridging user preferences with travel patterns.

Cite This Study

Hammad et al. (2025) studied this question.

synapsesocial.com/papers/68af5231ad7bf08b1eada689https://doi.org/10.29207/resti.v9i4.6510
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  4. 4TourOptiGuide: A Hybrid and Personalized Tourism Recommendation System2024 · 3 citations
  5. 5GIS-Based Personalized Tourism Recommendation Using Association Rule Mining to Support Sustainable Tourism2026