|
--- |
|
license: apache-2.0 |
|
--- |
|
|
|
# LLM4POI |
|
|
|
## Dataset Summary |
|
|
|
A preprocessed version of [LLM4POI](https://github.com/neolifer/LLM4POI), including the FourSquare-NYC, Gowalla-CA, and FourSquare-TKY datasets. Please refer to their repository for more details. |
|
|
|
LLM4POI frames next POI prediction task into a question-answering problem that is fed as prompt into a large language model (LLM). The model is trained to generate the next POI given the current trajectory and the historical trajectory. This repository hosts both the Q&A version and the raw txt and csv versions of the datasets. |
|
|
|
This dataset is used to train GenUP models as described in our paper [GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems](https://arxiv.org/abs/2410.20643). |
|
|
|
### Dataset Sources |
|
|
|
Repository: [neolifer/LLM4POI](https://github.com/neolifer/LLM4POI) |
|
|
|
Paper: [Large Language Models for Next Point-of-Interest Recommendation](https://arxiv.org/abs/2404.17591) |
|
|
|
|
|
Repository: [w11wo/GenUP](https://github.com/w11wo/GenUP) |
|
|
|
Paper: [GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems](https://arxiv.org/abs/2410.20643) |
|
|
|
## Dataset Structure |
|
|
|
```shell |
|
. |
|
├── README.md |
|
├── ca |
|
│ └── preprocessed |
|
│ ├── test_qa_pairs_kqt.txt |
|
│ ├── train_qa_pairs_kqt.json |
|
│ └── train_sample.csv |
|
├── nyc |
|
│ └── preprocessed |
|
│ ├── test_qa_pairs_kqt.txt |
|
│ ├── train_qa_pairs_kqt.json |
|
│ └── train_sample.csv |
|
└── tky |
|
└── preprocessed |
|
├── test_qa_pairs_kqt.txt |
|
├── train_qa_pairs_kqt.json |
|
└── train_sample.csv |
|
``` |
|
|
|
### Data Instances |
|
|
|
An example of a line in `test_qa_pairs_kqt.txt`: |
|
|
|
```plaintext |
|
<question>: The following data is a trajectory of user 2: At 2010-09-25 01:38:14, user 2 visited POI id 247 which is a Stadium and has Category id 261. At 2010-09-25 02:11:34, ... Given the data, At 2010-09-25 20:34:27, Which POI id will user 2 visit? Note that POI id is an integer in the range from 0 to 9690.<answer>: At 2010-09-25 20:34:27, user 2 will visit POI id 6350. |
|
``` |
|
|
|
An example of a JSON object in `train_qa_pairs_kqt.json`: |
|
|
|
```json |
|
{ |
|
"question": "The following data is a trajectory of user 2: At 2010-09-25 01:38:14, user 2 visited POI id 247 which is a Stadium and has Category id 261. At 2010-09-25 02:11:34, ... Given the data, At 2010-09-25 20:34:27, Which POI id will user 2 visit? Note that POI id is an integer in the range from 0 to 9690.", |
|
"answer": "At 2010-09-25 20:34:27, user 2 will visit POI id 6350." |
|
} |
|
``` |
|
|
|
An example of entries in `train_sample.csv`: |
|
|
|
```csv |
|
check_ins_id,UTCTimeOffset,UTCTimeOffsetEpoch,pseudo_session_trajectory_id,UserId,Latitude,Longitude,PoiId,PoiCategoryId,PoiCategoryName |
|
126094.0,2010-06-06 18:48:32,1275814112,0,1,37.6163560649,-122.3861503601,445,207,Airport |
|
126278.0,2010-06-06 22:11:04,1275826264,0,1,37.7826046833,-122.4076080167,244,1,Coffee Shop |
|
126314.0,2010-06-06 22:40:29,1275828029,0,1,37.7831295924,-122.4038743973,9346,121,Conference |
|
126622.0,2010-06-07 06:01:04,1275854464,0,1,37.7815086,-122.4050282333,3253,128,Pub |
|
``` |
|
|
|
### Data Splits |
|
|
|
| | train | test | |
|
| --- | ----: | ---: | |
|
| NYC | 11022 | 1447 | |
|
| CA | 36374 | 2864 | |
|
| TKY | 51661 | 7079 | |
|
|
|
## Additional Information |
|
|
|
### Citation |
|
|
|
If you find this repository useful for your research, please consider citing our paper: |
|
|
|
```bibtex |
|
@misc{wongso2024genupgenerativeuserprofilers, |
|
title={GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems}, |
|
author={Wilson Wongso and Hao Xue and Flora D. Salim}, |
|
year={2024}, |
|
eprint={2410.20643}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.IR}, |
|
url={https://arxiv.org/abs/2410.20643}, |
|
} |
|
``` |
|
|
|
```bibtex |
|
@inproceedings{Li_2024, series={SIGIR 2024}, |
|
title={Large Language Models for Next Point-of-Interest Recommendation}, |
|
url={http://dx.doi.org/10.1145/3626772.3657840}, |
|
DOI={10.1145/3626772.3657840}, |
|
booktitle={Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval}, |
|
publisher={ACM}, |
|
author={Li, Peibo and de Rijke, Maarten and Xue, Hao and Ao, Shuang and Song, Yang and Salim, Flora D.}, |
|
year={2024}, |
|
month=jul, pages={1463–1472}, |
|
collection={SIGIR 2024} |
|
} |
|
``` |
|
|
|
### Contact |
|
|
|
If you have any questions or suggestions, feel free to contact Wilson at `w.wongso(at)unsw(dot)edu(dot)au`. |
