A Novel Embedding Method for News Diffusion Prediction | |
Liu,Ruoran1,2; Li,Qiudan1; Wang,Can1,2; Wang,Lei1; Zeng,Daniel Dajun1,2,3 | |
2018 | |
会议日期 | 2018-2 |
会议地点 | New Orleans, Louisiana, USA |
英文摘要 | News diffusion prediction aims to predict a sequence of news sites which will quote a particular piece of news. Most of previous propagation models make efforts to estimate propagation probabilities along observed links and ignore the characteristics of news diffusion processes, and they fail to capture the implicit relationships between news sites. In this paper, we propose an algorithm to model the news diffusion processes in a continuous space and take the attributes of news into account. Experiments performed on a real-world news dataset show that our model can take advantage of news' attributes and predict news diffusion accurately. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23541] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.University of Arizona |
推荐引用方式 GB/T 7714 | Liu,Ruoran,Li,Qiudan,Wang,Can,et al. A Novel Embedding Method for News Diffusion Prediction[C]. 见:. New Orleans, Louisiana, USA. 2018-2. |
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