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--- |
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task_categories: |
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- other |
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tags: |
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- recommendation-system |
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- poi-recommendation |
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- mobility |
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- travel |
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size_categories: |
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- 1B<n<10B |
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--- |
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# IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation |
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[Paper](https://huggingface.co/papers/2602.11664) | [GitHub](https://github.com/AMAP-ML/IntTravel) |
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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. |
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## Dataset Structure |
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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". |
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### Information of POIs |
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The dataset contains **7,291,872** POIs distributed across several major cities in China. |
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| Field | Description | |
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|:---|:---| |
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| POI ID | A unique identifier for each Point of Interest. | |
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| Normalized score | A 0-1 score reflecting the overall popularity of the POI. | |
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| Geographic ID | Identifier for the POI's geographic block. Same GIDs indicate geographical proximity. | |
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| Category ID | A numerical identifier for the Point of Interest's category. | |
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| Administrative Region ID | The identifier for the administrative region of the POI. | |
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| Coordinates | The spatial coordinates of the POI on a 2D plane. | |
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### User Profiles |
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The dataset contains **162,815,861** users. |
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| Field | Description | |
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|:---|:---| |
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| User ID | A unique identifier assigned to each user. | |
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| Profile Feature 1-6 | Six profile features describing the user. | |
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### User Interactions |
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The dataset includes **4,129,827,011** user interaction events. |
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| Field | Description | |
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|:---|:---| |
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| User ID | A unique identifier for the user who performed the interaction. | |
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| Timestamp | The time of the user interaction, recorded in milliseconds. | |
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| Action Type | A numerical ID representing the type of user behavior (e.g., click). | |
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| POI ID | The identifier of the Point of Interest involved in the interaction. | |
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| Geographic ID | The geographic block ID where the user was during the interaction. | |
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| Administrative Region ID | The administrative region ID where the user was during the interaction. | |
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| Weather | A numerical ID representing the weather condition during the interaction. | |
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| Travel Mode | A numerical ID for the user's chosen travel mode. | |
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| Via POI ID | The identifier for a way-point POI added by the user. | |
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## Citation |
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If you use this dataset in your research, please cite the following paper: |
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```bibtex |
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@article{yan2025inttravel, |
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title={IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation}, |
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author={Huimin Yan and Longfei Xu and Junjie Sun and Zheng Liu and Wei Luo and Kaikui Liu and Xiangxiang Chu}, |
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journal={arXiv preprint arXiv:2602.11664}, |
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year={2025} |
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} |
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``` |
