1 code implementation • 6 Feb 2024 • Tao Zhang, Luwei Yang, Zhibo Xiao, Wen Jiang, Wei Ning
These neglected non-interaction preferences are especially important for broadening user's interests in alleviating echo chamber/filter bubble effects. Therefore, in this paper, we first define diversity as two distinct definitions, i. e., user-explicit diversity (U-diversity) and user-item non-interaction diversity (N-diversity) based on user historical behaviors.
no code implementations • 15 Jan 2024 • Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang
Recently, a new recommendation scenario, called Trigger-Induced Recommendation (TIR), where users are able to explicitly express their instant interests via trigger items, is emerging as an essential role in many e-commerce platforms, e. g., Alibaba. com and Amazon.
1 code implementation • 6 Dec 2021 • Yuanjie Gu, Zhibo Xiao, Yinghan Guan, Haoran Dai, Cheng Liu, Liang Xue, Shouyu Wang
In this study, we show that, the structures of generative networks capture a great deal of image feature priors, and then these priors are sufficient to reconstruct high-quality fused super-resolution result using only low-resolution inputs.
1 code implementation • 12 Oct 2021 • Yuanjie Gu, Yinghan Guan, Zhibo Xiao, Haoran Dai, Cheng Liu, Shouyu Wang
Multi-focus image fusion (MFIF) and super-resolution (SR) are the inverse problem of imaging model, purposes of MFIF and SR are obtaining all-in-focus and high-resolution 2D mapping of targets.
1 code implementation • CIKM 2020 • Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang
Then the Multi-Interest Extractor Layer is applied to extract multiple user interests.