Yunjuan LiangZhang Li-junLijuan MaMiao Qinglin
Question and answer system, which is a full-text retrieval system based on dynamic knowledge library, is an important segment of remote education platform. Information retrieval technique is a key technology to make the success of Intelligent Question Answering System. The paper gave research and analysis on the inverted index technology and adopted the improved TFIDF weighting formula in order to improve the accuracy of retrieval explained; introduced a distributed multi-threading technology, cache technology in the retrieval system. Finally found the best program about the system, making it become intelligent interaction of the Question and Answering platform.
Rakhshani, Amin (Ραχσανί, Αμίν Αλί Ασγάρ)
Hua ZhouYaofei TanLuyang WeiGangyi ChenPeng Lin
Bo LiuYishuang NingSheng HeFei GuoSiyu JiaLi Zhu
Shouning QuSujuan WangYan ZouQin Wang