Multilingual financial news retrieval and smart recommendation based on big data

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• 作者：Ye Liang 梁 野
• 关键词：financial news big data ; multilingual ; financial news retrieval ; smart recommendation ; F 224.13
• 刊名：Journal of Shanghai Jiaotong University (Science)
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：21
• 期：1
• 页码：18-24
• 全文大小：441 KB
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• 作者单位：Ye Liang 梁 野 (1)
  
  1. Department of Computer Science, Beijing Foreign Studies University, Beijing, 100089, China
  
• 刊物类别：Engineering
• 刊物主题：Electrical Engineering
  Life Sciences
  Architecture
  Chinese Library of Science
  
• 出版者：Shanghai Jiao Tong University Press
• ISSN：1995-8188

文摘

In view of the study of finance and economics information, we research on the real-time financial news posted on the authority sites in the world’s major advanced economies. Analyzing the massive financial news of different information sources and language origins, we come up with a basic theory model and its algorithm on financial news, which is capable of intelligent collection, quick access, deduplication, correction and integration with financial news’ backgrounds. Furthermore, we can find out connections between financial news and readers’ interest. So we can achieve a real-time and on-demand financial news feed, as well as provide a theoretical basis and verification of the scientific problems on real-time processing of massive information. Finally, the simulation experiment shows that the multilingual financial news matching technology can give more help to distinguish the similar financial news in different languages than the traditional method. Keywords financial news big data multilingual financial news retrieval smart recommendation