群智感知网络中基于社会关系的社区发现算法.
龙浩， 张书奎， 张力 - Journal of Computer Engineering & …, 2020 - search.ebscohost.com
群智感知应用主要通过社区划分进行任务分配, 然而现有群智感知应用中社区发现算法缺乏对
社会关系的量化以及划分社区的特征因子单一. 针对这些问题, 提出了一种基于多维社会关系 …
社会关系的量化以及划分社区的特征因子单一. 针对这些问题, 提出了一种基于多维社会关系 …
Multi-dimensional recommendation scheme for social networks considering a user relationship strength perspective
Developing a computational method based on user relationship strength for multi-
dimensional recommendation is a significant challenge. The traditional recommendation …
dimensional recommendation is a significant challenge. The traditional recommendation …
灰狼优化支持向量机的推荐算法.
杨本臣， 裴欢菲 - … Jishu Daxue Xuebao (Ziran Kexue Ban), 2021 - search.ebscohost.com
针对推荐系统中用户项目评分矩阵稀疏性和冷启动问题, 采用灰狼算法(GWO)
优化支持向量机(SVM) 分类器, 二者相结合, 提出一种新算法. 利用卷积矩阵分解模型(ConvMF) …
优化支持向量机(SVM) 分类器, 二者相结合, 提出一种新算法. 利用卷积矩阵分解模型(ConvMF) …
GIR: an opportunistic network routing algorithm based on game theory
L Li, H Wang, Z Liu, H Ye - IEEE Access, 2020 - ieeexplore.ieee.org
A large number of routing algorithms in Opportunistic Networks are based on the
assumption that nodes are free to help other nodes forward messages. However, when the …
assumption that nodes are free to help other nodes forward messages. However, when the …
[PDF][PDF] 基于神经网络和社区发现的高维数据推荐系统
唐新宇， 张新政， 刘保利 - 计算机应用与软件, 2020 - shcas.net
摘要由于评分矩阵存在稀疏性问题和冷启动问题, 传统的推荐系统大多通过分析上下文环境来
增强推荐系统的性能, 导致计算复杂度提高, 并影响推荐的准确率. 针对这种情况 …
增强推荐系统的性能, 导致计算复杂度提高, 并影响推荐的准确率. 针对这种情况 …
Analyzing of personalized recommendation model of social network users based on big data
X Li, X Yan - 2019 6th International Conference on Dependable …, 2020 - ieeexplore.ieee.org
Aiming at the problem that the traditional social network user interest personalized
recommendation model is affected by noise and human factors, which leads to poor …
recommendation model is affected by noise and human factors, which leads to poor …