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Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(803Kb)  |  收藏  |  浏览/下载：426/0  |  提交时间：2018/03/05
Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network  
Emerging trends in evolving networks: Recent behaviour dominant and non-dominant model 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 484, 页码: 506-515
作者:  Abbas, Khushnood;  Shang, Mingsheng;  Luo, Xin;  Abbasi, Alireza
Adobe PDF(2072Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2018/03/05
Novelty  Evolving networks  Recommender systems  E-commerce  Collective behaviour  Trend prediction  Emerging behaviour  
User Heterogeneity and Individualized Recommender 期刊论文
CHINESE PHYSICS LETTERS, 2017, 卷号: 34, 期号: 6, 页码: 4
作者:  Wang, Qing-Xian;  Zhang, Jun-Jie;  Shi, Xiao-Yu;  Shang, Ming-Sheng
Adobe PDF(566Kb)  |  收藏  |  浏览/下载：79/0  |  提交时间：2018/03/05
A generalized model via random walks for information filtering 期刊论文
PHYSICS LETTERS A, 2016, 卷号: 380, 期号: 34, 页码: 2608-2614
作者:  Ren, Zhuo-Ming;  Kong, Yixiu;  Shang, Ming-Shang;  Zhang, Yi-Cheng
Adobe PDF(1099Kb)  |  收藏  |  浏览/下载：70/0  |  提交时间：2018/03/15
Information filtering  Recommendations  Random walk  
A Novel Approach to Extracting Non-Negative Latent Factors From Non-Negative Big Sparse Matrices 期刊论文
IEEE ACCESS, 2016, 卷号: 4, 页码: 2649-2655
作者:  Luo, Xin;  Zhou, Mengchu;  Shang, Mingsheng;  Li, Shuai;  Xia, Yunni
Adobe PDF(9487Kb)  |  收藏  |  浏览/下载：875/1  |  提交时间：2018/03/15
Latent factors  non-negativity  matrix factorization  non-negative big sparse matrix  big data  recommender system