MGTIPM: A Multi-granularity Time Intention Prediction Model for Next Point-of-Interest Recommendation-Reference-Cited by-同舟云学术

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MGTIPM: A Multi-granularity Time Intention Prediction Model for Next Point-of-Interest Recommendation

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
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Author:

Wu Junyi¹,Li Hao¹,Yang Can¹,Li Jian²,Yan Kai²,Zhang Mingda³,Liu Ruixiang¹

Affiliation:

1. Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,China

2. State Key Laboratory of Intelligent Vehicle Safty Technology Chongqing Changan Automobile Co.Ltd,Chongqing,China

3. Hubei University,Faculty of Resources and Environmental Science,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233256/10233125/10233333.pdf?arnumber=10233333

Reference8 articles.

1. Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation;liu;Proceedings of the AAAI Conference on Artificial Intelligence,2021

2. The dynamics of repeat consumption

3. STAN: Spatio-Temporal Attention Network for Next Location Recommendation

4. Self-Attentive Sequential Recommendation

5. Spatio-temporal intention learning for recommendation of next point-of-interest

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