The Retrieval System Of University Library Based On Lucene Optimization And Implementation

With the rapid growth of digital resources in university libraries,as the core business of library,information retrieval service provides orderly and effective resources.The typical enterprise-class search engine of library has the characteristics of security secrecy and privilege,and most of the system data can only be provided by a professional enterprise search engine to a specific user.Although the library retrieval system is developing rapidly,there are still many deficiencies in the traditional keyword based retrieval system,which mainly manifests in the following three aspects:1.Not smart enough.Users can not clearly describe the search keyword or grasp the key words,the search system return results and the user's real needs of the difference is very far,the user is difficult to get the desired results;2.Not accurate enough.After the keyword search,the number of search results is large,can not achieve the purpose of effective information filtering;3.Not personalized.Single search results do not reflect the user's interest preferences and real needs,resulting in most of the useless information needs to be eliminated,resulting in time and energy waste.This paper focuses on the above problems,the specific research contents are as follows: firstly,the basic structure and principle of the search engine are analyzed and studied.In-depth study of Chinese word segmentation technology and sorting technology.Select the appropriate Chinese word segmentation technology scheme to improve the sorting algorithm.Secondly,a variety of personalized recommendation systems represented by collaborative filtering algorithm are analyzed and studied.By collecting the records of user's historical behavior,the user's hobby model is extracted and applied to personalized recommendation system.Thirdly,based on the sorting technology of Lucene and personalized recommendation results,the retrieval results are sorted again,and the optimization of the traditional library search system in a university is realized.