Point-of-interest recommendation based on bidirectional self-attention mechanism by fusing spatio-temporal preference-Reference-Cited by-同舟云学术

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Point-of-interest recommendation based on bidirectional self-attention mechanism by fusing spatio-temporal preference

Published:2023-08-30 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Cheng Shulin^ORCID,Wu Zhongquan,Qian Meng,Huang Wentao

Funder

Nature Science Foundation of Anhui Province in China

Outstanding Young Talents Program of Anhui Province in China

Major Science and Technology Project of Anhui Province

Provincial Quality Project of the Anhui Province Education Department in China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16542-z.pdf

Reference34 articles.

1. Rendle S, Freudenthaler C, Schmidt-Thieme L (2010) Factorizing personalized Markov chains for next-basket recommendation. In: Proceedings of the 19th International Conference on World Wide Web - WWW ’10, p. 811. ACM Press, Raleigh, North Carolina, USA. https://doi.org/10.1145/1772690.1772773

2. Donkers T, Loepp B, Ziegler J (2017) Sequential User-based Recurrent Neural Network Recommendations. In: Proceedings of the Eleventh ACM Conference on Recommender Systems, p 152–160. ACM, Como Italy. https://doi.org/10.1145/3109859.3109877

3. Hidasi B, Karatzoglou A (2018) Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 843–852. https://doi.org/10.1145/3269206.3271761arxiv:1706.03847

4. Tan YK, Xu X, Liu Y (2016) Improved Recurrent Neural Networks for Session-based Recommendations. In: Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, p 17–22. ACM, Boston MA USA. https://doi.org/10.1145/2988450.2988452

5. Wu C-Y, Ahmed A, Beutel A, Smola AJ, Jing H (2017) Recurrent Recommender Networks. In: Proceedings of the tenth ACM International Conference on Web Search and Data Mining, p 495–503. ACM, Cambridge United Kingdom. https://doi.org/10.1145/3018661.3018689

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1. Extracting Representations from Multi-View Contextual Graphs via Convolutional Neural Networks for Point-of-Interest Recommendation;Applied Sciences;2024-08-09

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