Research And Implementation Of Query Optimization For Microblog Financial Information Search Platform

With the frequent developing of Internet, people can find needed information from mass information through information retrieval technique. With the rapid developing of Web2.0, social network is the indispensable part of people’s life for communication, information dissemination and sharing. Microblog financial information search platform (MFISP) gets the data from Teng Xun microblog website, Xin Lang microblog website, Wang Yi microblog website, Sohu microblog website and He Xun microblog website. MFISP provides functionalities of data analyzation, store, index, search and data management.Lucene is a mature, open-source, high performance, scalable information retrieval library. You can add indexing and searching capabilities to your applications.The article considers query optimization technique including query classification, query reduction and requery based on Lucene with the feature analyzation of microblog and financial information. It uses keyword matching to implement query classification. It implements query reduction with rule matching. It completes requery using string matching in suffix array for data during some time.From the test and result analyzation we can see that query analyzation and pretreatment based on index and search can get the better user understanding and searching experience.Query classification, query reduction and requery using suffix array have high theoretical and practical values.