Multilingual Information Retrieval and Smart News Feed Based on Big Data
Based on the study of linguistics, Information Science and Library and Information Science, we research on the real-time news posted on the authority sites in the worlds major countries.By analyzing the massive news of different information sources and language origins, we come up with a basic theory model and its algorithm on news, which is capable of intelligent collection, quick access, deduplication, correction and integration with news backgrounds.Furthermore, we can find out connections between news and readers interest.So we can achieve a real-time and on-demand news feed as well as provide a theoretical basis and verification of scientific problems on real-time processing of massive information.Finally, the simulation experiment shows that the multilingual news matching technology could give more help to distinguish the similar news in different languages than the traditional method.
Big Data Multilingual Information Retrieval Smart News Feed
Ye Liang Ningning Guo Chunxiao Xing Yong Zhang Chao Li
Department of Computer Science, Beijing Foreign Studies University;Research Institute of Information Department of Computer Science, Beijing Foreign Studies University Research Institute of Information Technology, Tsinghua University Beijing, China
国际会议
济南
英文
85-88
2015-09-11（万方平台首次上网日期，不代表论文的发表时间）