no code implementations • 8 Feb 2024 • Di Cao, Xianchen Wang, Junfeng Zhou, Jiakai Zhang, Yanjing Lei, Wenpeng Chen
Traditional Time Delay Neural Networks (TDNN) have achieved state-of-the-art performance at the cost of high computational complexity and slower inference speed, making them difficult to implement in an industrial environment.
no code implementations • 29 May 2019 • Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
In this paper, we propose a hierarchical attention model fusing latent factor model for rating prediction with reviews, which can focus on important words and informative reviews.
5 code implementations • 29 May 2019 • Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
In this paper we propose a neural recommendation approach with personalized attention to learn personalized representations of users and items from reviews.