Exploration and Fulfillment of Search Engine in Economic Model Resource Platform Subsystem Based on Lucene Search Engine

This paper analyses the characteristic of Economic Model Resource Platform and Lucene search engine, a toolkit of full text retrieval, and employ it in the application. The SSH web development framework are designed to develop a search engine subsystems to achieve the classification of the platform model recommended the personalized retrieval functions. Combined weighted TF-IDF algorithm personalized improvement of the Lucene which existing sorting algorithms of the search results, making the building a search engine subsystem close to the user’s actual needs.