Travel Recommendation Dataset

Citation Author(s):
Pruthvi Raj
Venkatesh
NIT Warangal
Radha Krishna
P
NIT Warangal
Submitted by:
Pruthvi Raj Ven...
Last updated:
Sat, 04/19/2025 - 01:05
DOI:
10.21227/7c29-tt74
Data Format:
License:
0
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Abstract 

The Travel Recommendation Dataset is a comprehensive dataset designed for building and evaluating conversational recommendation systems in the travel domain. It includes detailed information about users, destinations, and ratings, enabling researchers and developers to create personalized travel recommendation models. The dataset supports use cases such as personalizing travel recommendations, analyzing user behavior, and training machine learning models for recommendation tasks.

Instructions: 

Instructions

  1. Dataset Contents:

    • users.json: Contains user profiles with fields like userIdage_grouptravel_preferencetravel_stylepreferred_activities, and preferred_accommodation.
    • destinations.json: Contains destination details with fields like destinationIdnamecountrytypesactivitiesaccommodationspopularity, and price_level.
    • ratings.json: Contains user ratings for destinations with fields like userIddestinationId, and rating.
  2. Use Cases:

    • Build conversational recommendation systems.
    • Personalize travel recommendations based on user preferences.
    • Analyze user behavior and travel trends.
    • Train machine learning models for recommendation tasks.
  3. Integration:

    • All files are in JSON format, making them easy to parse and integrate into various machine learning pipelines.
  4. Statistics:

    • Users: 436 profiles
    • Destinations: 346 destinations
    • Ratings: (Add the number of ratings from ratings.json).
  5. Usage:

    • Ensure proper parsing of JSON files.
    • Use the dataset for non-commercial research and development purposes only.

Dataset Files

    Files have not been uploaded for this dataset