LGLMG

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation (AIRS 2019)

Environment Settings

• Python version: '3.7'
• You have to install the required libraries

To run the code

You need just run the recommendation.py

• To change the dataset, you have to write its name in the recommendation.py.

Cite

Please cite our paper if you use our datasets or implementations:

@inproceedings{rahmani2020lglmf,
  title={LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation},
  author={Rahmani, Hossein A and Aliannejadi, Mohammad and Ahmadian, Sajad and Baratchi, Mitra and Afsharchi, Mohsen and Crestani, Fabio},
  booktitle={Information Retrieval Technology: 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7--9, 2019, Proceedings},
  volume={12004},
  pages={66},
  year={2020},
  organization={Springer Nature}
}

This repository contains the implementation of the Local Geographical based Logistic Matrix Factorization Model for POI Recommendation proposed in the AIRS 2019 paper. More details will be updated later.

Contact

If you have any questions, do not hesitate to contact us by [email protected] or [email protected], we will be happy to assist.