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 world's 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.