基本信息
浏览量:371
职业迁徙
个人简介
My primary research focus is on how Web Dynamics and Knowledge can help us predict future events in our world. I investigate the changes the Web undergoes with time, from such salient changes as the addition and evolution of content, to more subtle temporal dynamics of user behavior, and how these can be used to predict future population behavior. I combine this dynamics along with other World Knowledge available on the Web to build systems that feed on numerous heterogeneous resources, such as Web activity, Real-Time media and Social media, to alert about upcoming future global events.
研究兴趣
论文共 100 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
The Israel Medical Association journal : IMAJno. 2 (2024): 108-113
引用0浏览0WOS引用
0
0
Sally Turutov,Kira Radinsky
Proceedings of the AAAI Conference on Artificial Intelligenceno. 1 (2024): 257-264
arxiv(2024)
引用0浏览0引用
0
0
PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023pp.1335-1344, (2023)
引用0浏览0EI引用
0
0
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Miningpp.5416-5427, (2023)
引用0浏览0EI引用
0
0
Sally Turutov,Kira Radinsky
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Managementpp.4850-4856, (2023)
引用0浏览0EI引用
0
0
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Managementpp.68-77, (2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn