CASIA OpenIR  > 互联网大数据与安全信息
Browse Items

Browse/Search Results:  1-10 of 21 Help

Selected(0)Clear Items/Page:    Sort:
Exploring Trends and Patterns of Popularity Stage Evolution in Social Media 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 期号: 0, 页码: 1-11
Authors:  Qingchao Kong;  Wenji Mao;  Guandan Chen;  Daniel Zeng
View  |  Adobe PDF(1589Kb)  |  Favorite  |  View/Download:67/27  |  Submit date:2018/10/10
Online Contents  Popularity Evolution  Popularity Stage Prediction (Psp)  Social Media Analytics  
Joint Learning with Keyword Extraction for Event Detection in Social Media 会议论文
, Miami, FL, USA, 2018.11.8-2018.11.10
Authors:  Guandan Chen;  Wenji Mao;  Qingchao Kong;  Han Han
View  |  Adobe PDF(862Kb)  |  Favorite  |  View/Download:69/25  |  Submit date:2018/10/10
Event Detection  Keyword Extraction  Deep Learning  
A Partition and Interaction Combined Model for Social Event Popularity Prediction 会议论文
, Miami, FL, USA, 2018.11.08-2018.11.10
Authors:  Guandan Chen;  Qingchao Kong;  Wenji Mao;  Daniel Zeng
View  |  Adobe PDF(1095Kb)  |  Favorite  |  View/Download:81/31  |  Submit date:2018/10/10
Popularity Prediction  Information Cascade  Reinforcement Learning  
Mining phase evolution for hot topics: A case study from multiple social media platforms 会议论文
, Canada, October 5-8, 2017
Authors:  Ruoran Liu;  Qiudan Li;  Can Wang;  Lei Wang;  Daniel Dajun Zeng;  Hongyuan Ma
Favorite  |  View/Download:86/14  |  Submit date:2018/01/04
Phase Evolution  K-means  Burst Detection  Textrank  Social Media  
Modelling Fixed Odds Betting for Future Event Prediction 期刊论文
MIS Quarterly, 2017, 卷号: 41, 期号: 2, 页码: 645–665
Authors:  Chen, Weiyun;  Li, Xin;  Zeng, Daniel
Favorite  |  View/Download:29/0  |  Submit date:2019/02/28
Mining Phase Evolution for Hot Topics: A Case Study from Multiple Social Media Platforms 会议论文
, Banff, Canada, 2017-10
Authors:  Liu,Ruoran;  Li,Qiudan;  Wang,Can;  Wang,Lei;  Ma,Hongyuan
View  |  Adobe PDF(734Kb)  |  Favorite  |  View/Download:10/0  |  Submit date:2019/04/29
Why Does Collaborative Filtering Work? Transaction-based Recommendation Model Validation and Selection by Analyzing Bipartite Random Graphs, 期刊论文
INFORMS Journal on Computing, 2011, 卷号: 23, 期号: 1, 页码: 138-152
Authors:  Huang, Zan;  Zeng, Daniel
Favorite  |  View/Download:2/0  |  Submit date:2019/02/28
Social Media Analytics and Intelligence 期刊论文
IEEE Intelligent Systems, 2010, 卷号: 25, 期号: 6, 页码: 13-16
Authors:  Zeng, Daniel;  Chen, Hsinchun;  Lusch, Robert;  Li, Shu-Hsing
Favorite  |  View/Download:15/0  |  Submit date:2019/02/28
Syndromic Surveillance Systems: Public Health and Biodefence 期刊论文
Annual Review of Information Science and Technology, 2008, 卷号: 42, 期号: 无, 页码: 425-495
Authors:  Yan, Ping;  Chen, Hsinchun;  Zeng, Daniel
Favorite  |  View/Download:24/0  |  Submit date:2019/02/28
Analyzing Consumer-Product Graphs: Empirical Findings and Applications in Recommender Systems 期刊论文
Management Science, 2007, 卷号: 53, 期号: 7, 页码: 1146-1164
Authors:  Huang, Zan;  Zeng, Daniel;  Chen, Hsinchun
Favorite  |  View/Download:2/0  |  Submit date:2019/02/28
Random Graph Theory  Consumer-purchase Behavior  Topological Features  Recommender Systems  Collaborative Filtering