MIGNN: A Multiple Intention-aware Graph Convolutional Neural Network for POI Recommendation

Jingping Feng, Mingxin Gan, Yingxue Ma

2022

Abstract

In recent years, the rapid development of urbanization and mobile communication motivated the point-of-interest (POI) recommendation systems. Many models adopt deep learning methods to learn user and POI embedding, and achieved some improvements. However, existing models seldom pay attention to user check-in intentions. To address this problem, we propose a novel deep learning model to extract user check-in intentions using graph network, namely Multiple Intention-aware Graph Convolutional Neural network (MIGCN). We set four key modules in the proposed model, the embedding module for data preparation, the intention decomposition module for intention learning, the intention integrating module for intention embedding generating and the prediction module for future check-in prediction. We carried out a series of experiments on two real-world datasets. The experimental results verified the superiority of the proposed model compared with several the state-of-the-art methods.

Paper Citation

in Harvard Style

Feng J., Gan M. and Ma Y. (2022). MIGNN: A Multiple Intention-aware Graph Convolutional Neural Network for POI Recommendation. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 256-261. DOI: 10.5220/0011173400003440

in Bibtex Style

@conference{bdedm22,
author={Jingping Feng and Mingxin Gan and Yingxue Ma},
title={MIGNN: A Multiple Intention-aware Graph Convolutional Neural Network for POI Recommendation},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={256-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011173400003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - MIGNN: A Multiple Intention-aware Graph Convolutional Neural Network for POI Recommendation
SN - 978-989-758-593-7
AU - Feng J.
AU - Gan M.
AU - Ma Y.
PY - 2022
SP - 256
EP - 261
DO - 10.5220/0011173400003440