ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation-Reference-Cited by-同舟云学术

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ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation

Published:2024-08-24 Issue: Volume: Page:759-770
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
language:
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Author:

Feng Shanshan¹^ORCID,Meng Feiyu²^ORCID,Chen Lisi³^ORCID,Shang Shuo³^ORCID,Ong Yew Soon⁴^ORCID

Affiliation:

1. Centre for Frontier AI Research, A*STAR & Institute of High Performance Computing, A*STAR, Singapore, Singapore

2. University of Electronic Science and Technology of China, Chengdu, Sichuan, China

3. University of Electronic Science and Technology of China, Chengdu, China

4. Centre for Frontier AI Research, A*STAR & Nanyang Technological University, Singapore, Singapore

Funder

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671809

Reference57 articles.

1. Ines Chami Adva Wolf Da-Cheng Juan Frederic Sala Sujith Ravi and Christopher Ré. 2020. Low-Dimensional Hyperbolic Knowledge Graph Embeddings. In ACL.

2. Learning to Rotate

3. Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence.

4. Friendship and mobility

5. ST-PIL

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