Zobrazeno 1 - 10
of 2 799
pro vyhledávání: '"An-Ning Wei"'
Autor:
Jiang, Siyuan, Li, Jia, Zong, He, Liu, Huanyu, Zhu, Hao, Hu, Shukai, Li, Erlu, Ding, Jiazheng, Han, Yu, Ning, Wei, Wang, Gen, Dong, Yihong, Zhang, Kechi, Li, Ge
Large Language Models (LLMs) have been widely used in code completion, and researchers are focusing on scaling up LLMs to improve their accuracy. However, larger LLMs will increase the response time of code completion and decrease the developers' pro
Externí odkaz:
http://arxiv.org/abs/2410.13187
Autor:
Yang, Zhiming, Gao, Haining, Gao, Dehong, Yang, Luwei, Yang, Libin, Cai, Xiaoyan, Ning, Wei, Zhang, Guannan
Click-through rate (CTR) prediction is one of the fundamental tasks in the industry, especially in e-commerce, social media, and streaming media. It directly impacts website revenues, user satisfaction, and user retention. However, real-world product
Externí odkaz:
http://arxiv.org/abs/2408.08913
Autor:
Ma, Jianxing, Xiao, Zhibo, Yang, Luwei, Xue, Hansheng, Liu, Xuanzhou, Jiang, Wen, Ning, Wei, Zhang, Guannan
To cater to users' desire for an immersive browsing experience, numerous e-commerce platforms provide various recommendation scenarios, with a focus on Trigger-Induced Recommendation (TIR) tasks. However, the majority of current TIR methods heavily r
Externí odkaz:
http://arxiv.org/abs/2408.03091
Semantic relevance calculation is crucial for e-commerce search engines, as it ensures that the items selected closely align with customer intent. Inadequate attention to this aspect can detrimentally affect user experience and engagement. Traditiona
Externí odkaz:
http://arxiv.org/abs/2406.02135
Autor:
Chen, Kaidi, Chen, Ben, Gao, Dehong, Dai, Huangyu, Jiang, Wen, Ning, Wei, Yu, Shanqing, Yang, Libin, Cai, Xiaoyan
Existing Neural Machine Translation (NMT) models mainly handle translation in the general domain, while overlooking domains with special writing formulas, such as e-commerce and legal documents. Taking e-commerce as an example, the texts usually incl
Externí odkaz:
http://arxiv.org/abs/2403.03689
Publikováno v:
Advances in Accounting Behavioral Research Volume 28
Publikováno v:
WWW2024
Recommender systems have made significant strides in various industries, primarily driven by extensive efforts to enhance recommendation accuracy. However, this pursuit of accuracy has inadvertently given rise to echo chamber/filter bubble effects. E
Externí odkaz:
http://arxiv.org/abs/2402.03801
The recommendation has been playing a key role in many industries, e.g., e-commerce, streaming media, social media, etc. Recently, a new recommendation scenario, called Trigger-Induced Recommendation (TIR), where users are able to explicitly express
Externí odkaz:
http://arxiv.org/abs/2401.07769
Autor:
Yunlong Shan, Mengying Zhang, Enxiang Tao, Jing Wang, Ning Wei, Yi Lu, Qing Liu, Kun Hao, Fang Zhou, Guangji Wang
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 9, Iss 1, Pp 1-27 (2024)
Abstract Over the past two decades, mesenchymal stem/stromal cell (MSC) therapy has made substantial strides, transitioning from experimental clinical applications to commercial products. MSC therapies hold considerable promise for treating refractor
Externí odkaz:
https://doaj.org/article/4ec675d2ac27486ebb95e56dddc9345b
We present a new encoder-decoder generative network dubbed EdgeNet, which introduces a novel encoder-decoder framework for data-driven auction design in online e-commerce advertising. We break the neural auction paradigm of Generalized-Second-Price(G
Externí odkaz:
http://arxiv.org/abs/2305.06158