Metric learning with adversarial hard negative samples for tag recommendation-Reference-Cited by-同舟云学术

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Metric learning with adversarial hard negative samples for tag recommendation

Published:2024-06-11 Issue:14 Volume:80 Page:21475-21507
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Wang Jinglong,Chen Gui,Xin Kai,Fei Zhengshun

Funder

The Research Project of Zhejiang Provincial Department of Education

The Natural Science Foundation of Zhejiang Province

The Key Research and Development Program of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11227-024-06274-8.pdf

Reference59 articles.

1. Gao C, Zheng Y, Li N, Li Y, Qin Y, Piao J, Quan Y, Chang J, Jin D, He X, Li Y (2023) A survey of graph neural networks for recommender systems: challenges, methods, and directions. ACM Trans Recomm Syst 1(1):511. https://doi.org/10.1145/3568022

2. Ko H, Lee S, Park Y, Choi A (2022) A survey of recommendation systems: recommendation models, techniques, and application fields. Electronics 11(1):141. https://doi.org/10.3390/electronics11010141

3. Yi J, Ren X, Chen Z (2023) Multi-auxiliary augmented collaborative variational auto-encoder for tag recommendation. ACM Trans Inf Syst 41(4):1–25. https://doi.org/10.1145/3578932

4. Jafari Sadr M, Mirtaheri SL, Greco S, Borna K (2023) Popular tag recommendation by neural network in social media. Comput Intell Neurosci 2023:4300408. https://doi.org/10.1155/2023/4300408

5. Kolda TG, Bader BW (2009) Tensor decompositions and applications. SIAM Rev 51(3):455–500. https://doi.org/10.1137/07070111X

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