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In travel planning, user-generated reviews have proved to be a crucial element in the formulation of decisions. Our Travel Recommendation project helps make trip planning easier by giving users personalized suggestions. Inspired by platforms like TripAdvisor, our system does three main things: it sorts through user reviews, understands the content, and provides smart travel recommendations. To do this, we use tools like topic modeling to analyze lots of reviews and deep learning to recognize emotions in them. The feedback system is designed to focus on key parts of the experience, using simple metrics. The goal of this project is to make trip planning easier and provide helpful, customized recommendations for users. It’s a step toward making travel suggestions simple and enjoyable for everyone.

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Smart Travel Planning: Leveraging User Reviews for Personalized Recommendations

  • 会议论文

  • 发表日期：

    2025年

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  • Valerie Menezes,
  • Sweta Kamat,
  • Vishnu Divker,
  • Shreyash Naik,
  • Shivdatta Naik,
  • Om Vengurlekar,
  • Kshitij Naik Gaonkar

摘要

In travel planning, user-generated reviews have proved to be a crucial element in the formulation of decisions. Our Travel Recommendation project helps make trip planning easier by giving users personalized suggestions. Inspired by platforms like TripAdvisor, our system does three main things: it sorts through user reviews, understands the content, and provides smart travel recommendations. To do this, we use tools like topic modeling to analyze lots of reviews and deep learning to recognize emotions in them. The feedback system is designed to focus on key parts of the experience, using simple metrics. The goal of this project is to make trip planning easier and provide helpful, customized recommendations for users. It’s a step toward making travel suggestions simple and enjoyable for everyone.