---
task_categories:
- other
tags:
- recommendation-system
- poi-recommendation
- mobility
- travel
size_categories:
- 1B<n<10B
---

# IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation

[Paper](https://huggingface.co/papers/2602.11664) | [GitHub](https://github.com/AMAP-ML/IntTravel)

IntTravel is the first large-scale public dataset for integrated travel recommendation, including **4.1 billion interactions from 163 million users with 7.3 million POIs**. Built upon this dataset, the authors introduce an end-to-end, decoder-only generative framework for multi-task recommendation. It incorporates information preservation, selection, and factorization to balance task collaboration with specialized differentiation.

## Dataset Structure

The IntTravel dataset provides a comprehensive view of user journeys, including "when to depart", "how to travel", "where to go", and "what needs arise via the route".

### Information of POIs
The dataset contains **7,291,872** POIs distributed across several major cities in China.

| Field | Description |
|:---|:---|
| POI ID | A unique identifier for each Point of Interest. |
| Normalized score | A 0-1 score reflecting the overall popularity of the POI. |
| Geographic ID | Identifier for the POI's geographic block. Same GIDs indicate geographical proximity. |
| Category ID | A numerical identifier for the Point of Interest's category. |
| Administrative Region ID | The identifier for the administrative region of the POI. |
| Coordinates | The spatial coordinates of the POI on a 2D plane. |

### User Profiles
The dataset contains **162,815,861** users.

| Field | Description |
|:---|:---|
| User ID | A unique identifier assigned to each user. |
| Profile Feature 1-6 | Six profile features describing the user. |

### User Interactions
The dataset includes **4,129,827,011** user interaction events.

| Field | Description |
|:---|:---|
| User ID | A unique identifier for the user who performed the interaction. |
| Timestamp | The time of the user interaction, recorded in milliseconds. |
| Action Type | A numerical ID representing the type of user behavior (e.g., click). |
| POI ID | The identifier of the Point of Interest involved in the interaction. |
| Geographic ID | The geographic block ID where the user was during the interaction. |
| Administrative Region ID | The administrative region ID where the user was during the interaction. |
| Weather | A numerical ID representing the weather condition during the interaction. |
| Travel Mode | A numerical ID for the user's chosen travel mode. |
| Via POI ID | The identifier for a way-point POI added by the user. |

## Citation
If you use this dataset in your research, please cite the following paper:
```bibtex
@article{yan2025inttravel,
  title={IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation},
  author={Huimin Yan and Longfei Xu and Junjie Sun and Zheng Liu and Wei Luo and Kaikui Liu and Xiangxiang Chu},
  journal={arXiv preprint arXiv:2602.11664},
  year={2025}
}
```