Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data

doi:10.1007/s12204-016-1694-3

上海交通大学学报（英文版） ›› 2016, Vol. 21 ›› Issue (1): 18-24.doi: 10.1007/s12204-016-1694-3

Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data

LIANG Ye (梁野)

(Department of Computer Science, Beijing Foreign Studies University, Beijing 100089, China)

出版日期:2016-02-29 发布日期:2016-03-21
通讯作者: LIANG Ye (梁野)

Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data

LIANG Ye (梁野)

(Department of Computer Science, Beijing Foreign Studies University, Beijing 100089, China)

Online:2016-02-29 Published:2016-03-21
Contact: LIANG Ye (梁野)

摘要/Abstract

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.

关键词: financial news big data, multilingual, financial news retrieval, smart recommendation

Abstract: 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.

Key words: financial news big data, multilingual, financial news retrieval, smart recommendation

中图分类号:

F 224.13

LIANG Ye (梁野). Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data[J]. 上海交通大学学报（英文版）, 2016, 21(1): 18-24.

LIANG Ye (梁野). Multilingual Financial News Retrieval and Smart Recommendation Based on Big Data[J]. Journal of shanghai Jiaotong University (Science), 2016, 21(1): 18-24.

参考文献 10

[1]	GERSH J R, BOS N. Cognitive and organizationalchallenges of big data in cyber defense[C]//Proceedings of the 1st Workshop on Human-Centered Big Data Research. Raleigh, RC, USA: ACM,2014: 4-8.
[2]	CUZZOCREA A. Privacy and security of big data:Current challenges and future research perspectives[C]//Proceedings of the First International Workshopon Privacy and Secuirty of Big Data. Shanghai, China:ACM, 2014: 45-47.
[3]	BONIFATI A, CIUCANU R, LEMAY A, etal. A paradigm for learning queries on big data[C]//Proceedings of the First International Workshopon Bringing the Value of Big Data to Users. Hangzhou,China: ACM, 2014: 7-12.
[4]	NAYAK R, SENELLART P, SUCHANEK F M, etal. Discovering interesting information with advancesin web technology [J]. SIGKDD Explorations Newsletter,2013, 14(2): 63-81.
[5]	KUMAR B A. Profound survey on cross language informationretrieval methods (CLIR) [C]//Proceedingsof the 2nd International Conference on Advanced Computing& Communication Technologies. [s. l.]: IEEE,2012: 64-68.
[6]	LIU Y, TIAN M, ZHOU W T, et al. A cross languagetext categorization algorithm from the perspectiveof information retrieval [C]//Proceedings of theIndustrial Control and Electronics Engineering. [s. l.]:IEEE, 2012: 254-257.
[7]	ZHU W H, LUO L H, JU C Y, et al. Cross languageinformation extraction for digitized textbooksof specific domains [C]//Proceedings of the Computerand Information Technology. [s. l.]: IEEE, 2012: 1114-1118.
[8]	MENG X F, CI X. Big data management: Concepts,techniques and challenge [J]. Journal of Computer Researchand Development, 2013, 50(1): 146-169 (in Chinese).
[9]	QIN X P, WANG H J, LI F R, et al. New landscapeof data management technologies [J]. Journal of Software,2013, 24(2): 175-197 (in Chinese).
[10]	LIU T T, LI C, HU Q C, et al. Multiple-replicas managementin the cloud environment [J]. Journal of ComputerResearch and Development, 2011, 48(Sup.): 254-260 (in Chinese).

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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