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DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 60186-60198
作者:  Wang, Qingxian;  Peng, Binbin;  Shi, Xiaoyu;  Shang, Tianqi;  Shang, Mingsheng
Adobe PDF(4751Kb)  |  收藏  |  浏览/下载:145/0  |  提交时间:2019/06/24
Recommender systems  collaborative filtering  rating prediction  denoising autoencoders  multi layered perceptron  
Popularity and Novelty Dynamics in Evolving Networks 期刊论文
SCIENTIFIC REPORTS, 2018, 卷号: 8, 页码: 10
作者:  Abbas, Khushnood;  Shang, Mingsheng;  Abbasi, Alireza;  Luo, Xin;  Xu, Jian Jun;  Zhang, Yu-Xia
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载:268/0  |  提交时间:2018/06/04
Effects of the bipartite structure of a network on performance of recommenders 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 492, 页码: 1257-1266
作者:  Wang, Qing-Xian;  Li, Jian;  Luo, Xin;  Xu, Jian-Jun;  Shang, Ming-Sheng
收藏  |  浏览/下载:129/0  |  提交时间:2018/03/16
Bipartite network  Clustering coefficient  Network density  User-item ratio  Recommender system  
Incremental Slope-one recommenders 期刊论文
NEUROCOMPUTING, 2018, 卷号: 272, 页码: 606-618
作者:  Wang, Qing-Xian;  Luo, Xin;  Li, Yan;  Shi, Xiao-Yu;  Gu, Liang;  Shang, Ming-Sheng
收藏  |  浏览/下载:162/0  |  提交时间:2018/03/05
Collaborative Filtering  Slope-one  Recommender System  Dynamic Datasets  Incremental Recommenders  
Long-term performance of collaborative filtering based recommenders in temporally evolving systems 期刊论文
NEUROCOMPUTING, 2017, 卷号: 267, 页码: 635-643
作者:  Shi, Xiaoyu;  Luo, Xin;  Shang, Mingsheng;  Gu, Liang
收藏  |  浏览/下载:110/0  |  提交时间:2018/03/05
Learning system  Recommender system  One-step recommendation  Long-term effect  Temporally evolving system  Bipartite 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:103/0  |  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:81/0  |  提交时间:2018/03/05