Attention mechanism and adaptive convolution actuated fusion network for next POI recommendation-Reference-Cited by-同舟云学术

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Attention mechanism and adaptive convolution actuated fusion network for next POI recommendation

Published:2022-05-26 Issue:10 Volume:37 Page:7888-7908
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Yang Qing¹,Hu Shiyan²^ORCID,Zhang Wenxiang²,Zhang Jingwei³

Affiliation:

1. Guangxi Key Laboratory of Automatic Detection Technology and Instruments Guilin University of Electronic Technology Guilin China

2. School of Electronic Engineering and Automation Guilin University of Electronic Technology Guilin China

3. Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China

Funder

Natural Science Foundation of Guangxi Province

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22909

Reference46 articles.

1. HanP ShangS SunA ZhaoP ZhengKZhangX.Point‐of‐interest recommendation with global and local context.IEEE Trans Knowl Data Eng;2021.doi:10.1109/TKDE.2021.3059744

2. SunH XuJ ZhengK ZhaoP ChaoP ZhouX. MFNP: A meta‐optimized model for few‐shot next POI recommendation. Proceedings of the 30th International Joint Conference on Artificial Intelligence;2021:3017‐3023.

3. Trust-Enhanced Collaborative Filtering for Personalized Point of Interests Recommendation

4. RendleS FreudenthalerC Schmidt‐ThiemeL. Factorizing personalized Markov chains for next‐basket recommendation. Proceedings of the 19th International Conference on World Wide Web WWW 2010 Raleigh North Carolina USA April 26–30;2010:811‐820.

5. ZhangJ‐D ChowC‐Y. iGSLR: personalized geo‐social location recommendation: a kernel density estimation approach. Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2013:334‐343.

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