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Travel Recommendation Dataset

- Citation Author(s):
- Submitted by:
- Pruthvi Raj Ven...
- Last updated:
- Sat, 04/19/2025 - 01:05
- DOI:
- 10.21227/7c29-tt74
- Data Format:
- License:
- Categories:
- Keywords:
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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
-
Dataset Contents:
- users.json: Contains user profiles with fields like
userId
,age_group
,travel_preference
,travel_style
,preferred_activities
, andpreferred_accommodation
. - destinations.json: Contains destination details with fields like
destinationId
,name
,country
,types
,activities
,accommodations
,popularity
, andprice_level
. - ratings.json: Contains user ratings for destinations with fields like
userId
,destinationId
, andrating
.
- users.json: Contains user profiles with fields like
-
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.
-
Integration:
- All files are in JSON format, making them easy to parse and integrate into various machine learning pipelines.
-
Statistics:
- Users: 436 profiles
- Destinations: 346 destinations
- Ratings: (Add the number of ratings from ratings.json).
-
Usage:
- Ensure proper parsing of JSON files.
- Use the dataset for non-commercial research and development purposes only.
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