Timestamps as Prompts for Geography-Aware Location Recommendation-Reference-Cited by-同舟云学术

Timestamps as Prompts for Geography-Aware Location Recommendation

Published:2023-10-21 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Luo Yan¹^ORCID,Duan Haoyi²^ORCID,Liu Ye¹^ORCID,Chung Fu-Lai¹^ORCID

Affiliation:

1. The Hong Kong Polytechnic University, Hong Kong, Hong Kong

2. Zhejiang University, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615083

Reference34 articles.

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2. The influence of temporal and spatial features on the performance of next-place prediction algorithms

3. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language Models are Few-shot Learners. In Advances in Neural Information Processing Systems (NeurIPS). 1877--1901. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language Models are Few-shot Learners. In Advances in Neural Information Processing Systems (NeurIPS). 1877--1901.

4. DeepMove

5. HME