Jiayin Wang

Nov 19, 2024 | mdpi.com | Jiayin Wang

Oct 4, 2024 | mdpi.com | Lili Wang |Huan He |Jiayin Wang |Zhuang Meng

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Sep 25, 2024 | onlinelibrary.wiley.com | Xiaoyan Zhu |Yu Zhang |Jiaxuan Li |Jiayin Wang

REFERENCES 1, , . Sequence-aware recommender systems. ACM Comput Surv. 2018; 51(4): 1-36. 2, , , . Deep learning based recommender system: a survey and new perspectives. ACM Comput Surv. 2019; 52(1): 1-38. 3, , , et al. Deep interest evolution network for click-through rate prediction. Proceedings of the AAAI Conference on Artificial Intelligence. 33. 2019;5941-5948. 4, , , , , . Architecture and operation adaptive network for online recommendations.

Sep 21, 2024 | mdpi.com | Pingping Du |Huan He |Jiayin Wang |Lili Wang

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

May 26, 2024 | mdpi.com | Jiayin Wang |Zhuang Meng |Huan He |Pingping Du

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.