Design And Implementation Of Search System Based On Solr

With the increase of the information of the Internet project system, how to classify the information about how to classify the information is more efficient and convenient. According to the user’s needs, it can be quickly displayed to the user. Different projects have different information classification and aggregation algorithm, according to the classification of information to establish the search data source. How to make users quickly find the content that the user wants to become a good Internet product system is very important, a good search system is an important cornerstone of Internet companies.This paper is based on the background of the meidaila’s search system, search system meet the project Chinese station. The system realizes the Chinese segmentation, keyword search and classification data update of the United States search. System is divided into five major modules, namely the Chinese word segmentation module, search module, search module, the results of processing module, dictionary management module. Chinese word segmentation module, the input of the Chinese for segmentation, segmentation of the keyword list; preprocessing module is mainly search before the pre process, such as data cache, and oral vocabulary conversion, search node selection, etc.; the search module brought the Chinese word segmentation after the keyword list, from the stored index view corresponds to a list of keywords; result processing module to the search result list processing, such as keywords are marked with a red, the maximum matching prioritization, and search result caching etc.; dictionary management module is carried out on the system used in special industry words, synonyms to add, modify and delete, etc..