Zobrazeno 1 - 10
of 576
pro vyhledávání: '"Wang, Zongwei"'
Modern recommender systems (RS) have profoundly enhanced user experience across digital platforms, yet they face significant threats from poisoning attacks. These attacks, aimed at manipulating recommendation outputs for unethical gains, exploit vuln
Externí odkaz:
http://arxiv.org/abs/2406.01022
Modern recommender systems (RS) have seen substantial success, yet they remain vulnerable to malicious activities, notably poisoning attacks. These attacks involve injecting malicious data into the training datasets of RS, thereby compromising their
Externí odkaz:
http://arxiv.org/abs/2401.01527
Contrastive learning (CL) has recently gained prominence in the domain of recommender systems due to its great ability to enhance recommendation accuracy and improve model robustness. Despite its advantages, this paper identifies a vulnerability of C
Externí odkaz:
http://arxiv.org/abs/2311.18244
The acquisition of explicit user feedback (e.g., ratings) in real-world recommender systems is often hindered by the need for active user involvement. To mitigate this issue, implicit feedback (e.g., clicks) generated during user browsing is exploite
Externí odkaz:
http://arxiv.org/abs/2210.10321
Self-supervised learning (SSL) recently has achieved outstanding success on recommendation. By setting up an auxiliary task (either predictive or contrastive), SSL can discover supervisory signals from the raw data without human annotation, which gre
Externí odkaz:
http://arxiv.org/abs/2203.03982
With the increasingly fierce market competition, offering a free trial has become a potent stimuli strategy to promote products and attract users. By providing users with opportunities to experience goods without charge, a free trial makes adopters k
Externí odkaz:
http://arxiv.org/abs/2202.09508
Publikováno v:
In Journal of Environmental Chemical Engineering August 2024 12(4)
Publikováno v:
Jixie chuandong, Vol 47, Pp 1-12 (2023)
Gears are the most widely used transmission parts in the modern mechanical transmission system. The precision and surface quality of gear tooth profiles have great influence on the precision, smoothness, reliability and noise of gear transmission. Th
Externí odkaz:
https://doaj.org/article/52b85e6e6b9f4ff2b9853349fcdc8e91
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part B
Autor:
Wu, Yi, Wang, Zongwei, Yan, Yuhang, Zhou, Yuqian, Xue, Ziyu, Huma, Bushra, Tan, Zhongxin, Zhou, Tuo
Publikováno v:
In Science of the Total Environment 1 November 2024 949