Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation-Reference-Cited by-同舟云学术

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation

Published:2023-07-18 Issue: Volume: Page:
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Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Long Jing¹^ORCID,Chen Tong²^ORCID,Nguyen Quoc Viet Hung³^ORCID,Xu Guandong⁴^ORCID,Zheng Kai⁵^ORCID,Yin Hongzhi¹^ORCID

Affiliation:

1. The University of Queensland, Brisbane, QLD, Australia

2. The University of Queensland, Beisbane, QLD, Australia

3. Griffith University, Gold Coast, QLD, Australia

4. University of Technology Sydney, Sydney, NSW, Australia

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

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591733

Reference50 articles.

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2. I. Bistritz A. Mann and N. Bambos. 2020. Distributed Distillation for On-Device Learning. In Neural Information Processing Systems. I. Bistritz A. Mann and N. Bambos. 2020. Distributed Distillation for On-Device Learning. In Neural Information Processing Systems.

3. B. Chang , Y. Park , D. Park , S. Kim , and J. Kang . 2018 . Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. In Twenty-Seventh International Joint Conference on Artificial Intelligence IJCAI-18 . B. Chang, Y. Park, D. Park, S. Kim, and J. Kang. 2018. Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. In Twenty-Seventh International Joint Conference on Artificial Intelligence IJCAI-18.

4. AIR: Attentional Intention-Aware Recommender Systems

5. Sequence-Aware Factorization Machines for Temporal Predictive Analytics

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