Tourist Attractions Prediction with Enhanced Location Knowledge Graph-Reference-Cited by-同舟云学术

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Tourist Attractions Prediction with Enhanced Location Knowledge Graph

Published:2023-12-17 Issue: Volume:1 Page:972-979
ISSN:
Container-title:2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)
language:
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Author:

Xu Jing¹,Bai Zhengyang²,Ma Qiang³

Affiliation:

1. Graduate School of Informatics, Kyoto University,Kyoto,Japan

2. RIKEN Center for Computational Science RIKEN,Tokyo,Japan

3. Graduate School of Science and Technology, Kyoto Institute of Technology,Kyoto,Japan

Funder

JSPS KAKENHI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10466782/10466786/10466836.pdf?arnumber=10466836

Reference24 articles.

1. Urban Road Safety Prediction: A Satellite Navigation Perspective

2. Fusing high-resolution multispectral image with trajectory for user next travel location prediction

3. A Survey on Knowledge Graph-Based Recommender Systems

4. WhereNext

5. Understanding mobility based on GPS data

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