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Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data

Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data
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摘要 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. 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.
作者 梁野
出处 《Journal of Shanghai Jiaotong university(Science)》 EI 2016年第1期18-24,共7页 上海交通大学学报(英文版)
基金 the National Social Science Foundation of China(Nos.15CTQ028 and 14@ZH036) the Social Science Foundation of Beijing(No.15SHA002) the Young Faculty Research Fund of Beijing Foreign Studies University(No.2015JT008)
关键词 financial news big data MULTILINGUAL financial news retrieval smart recommendation 经济数学 数量经济学 经济控制论 经济系统分析
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