群体共识决策的研究进展与展望
张恒杰， 王芳， 董庆兴， 巩在武， 吴坚… - 电子科技大学学报 …, 2021 - social.uestc.edu.cn
群体共识决策的研究进展与展望 Page 1 • 应急管理• 群体共识决策的研究进展与展望 □张恒杰1
王芳1 董庆兴2 巩在武3 吴坚4 吴志彬5 许叶军6 张震7 董玉成5 [1. 河海大学南京211100;2. 华中 …
王芳1 董庆兴2 巩在武3 吴坚4 吴志彬5 许叶军6 张震7 董玉成5 [1. 河海大学南京211100;2. 华中 …
A novel group recommendation model with two-stage deep learning
Group recommendation has recently drawn a lot of attention to the recommender system
community. Currently, several deep learning-based approaches are leveraged to learn …
community. Currently, several deep learning-based approaches are leveraged to learn …
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems
A recommender system (RS) is highly efficient in filtering people's desired information from
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
high-dimensional and sparse (HiDS) data. To date, a latent factor (LF)-based approach …
A prediction-sampling-based multilayer-structured latent factor model for accurate representation to high-dimensional and sparse data
Performing highly accurate representation learning on a high-dimensional and sparse
(HiDS) matrix is of great significance in a big data-related application such as a …
(HiDS) matrix is of great significance in a big data-related application such as a …
Analysis of the influence of trust in opposing opinions: An inclusiveness-degree based Signed Deffuant–Weisbush model
B Jiang, Y Zhao, J Dong, J Hu - Information Fusion, 2024 - Elsevier
The evolution of the opinion of an agent is often uncertain in social networks, especially
when they have to communicate with agents holding opposing opinions on a certain topic. In …
when they have to communicate with agents holding opposing opinions on a certain topic. In …
[HTML][HTML] Consensus reaching in social network group decision making: Research paradigms and challenges
In social network group decision making (SNGDM), the consensus reaching process (CRP)
is used to help decision makers with social relationships reach consensus. Many CRP …
is used to help decision makers with social relationships reach consensus. Many CRP …
Opinion dynamics and minimum adjustment-driven consensus model for multi-criteria large-scale group decision making under a novel social trust propagation …
Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …
large-scale group decision making (LSGDM) owing to the large number of decision makers …
A survey on the fusion process in opinion dynamics
Opinion dynamics is a fusion process of individual opinions, in which a group of interacting
agents continuously fuse their opinions on the same issue based on established fusion rules …
agents continuously fuse their opinions on the same issue based on established fusion rules …
A minimum adjustment cost feedback mechanism based consensus model for group decision making under social network with distributed linguistic trust
A theoretical feedback mechanism framework to model consensus in social network group
decision making (SN-GDM) is proposed with following two main components:(1) the …
decision making (SN-GDM) is proposed with following two main components:(1) the …
A deep latent factor model for high-dimensional and sparse matrices in recommender systems
Recommender systems (RSs) commonly adopt a user-item rating matrix to describe users'
preferences on items. With users and items exploding, such a matrix is usually high …
preferences on items. With users and items exploding, such a matrix is usually high …