Research And Application Of Books Intelligent Retrieval System Based On Mahout Model

With the continuous development of Internet technology, the demand for information and knowledge continues to expand, how to provide users with more accurate and personalized information retrieval search results become a hot topic in recent years.The students become the knowledge and information needs of the largest groups, and promote the development and construction of digital libraries.The advent of digital libraries so that readers use the library more convenient, more efficient use of the library.However, the digital library construction faces great challenges because of the increasing number of books stored in the Library and the rising requirements of readers for the library.Digital library generated a lot of book information and loan history information,which provide data base for it to improve it’s service level.This article discusses how to use data mining thought mining readers’ borrowing information, and analyze scores of books with readers borrow historical data.It will provides a smarter search results by collaborative filtering recommendation algorithm and Mahout framework when readers retrieving books.On the other hand according to the search results optimization algorithm to optimize search results,which allow readers to retrieve the useful information of books for themselves.This article focuses on using collaborative filtering technology and Mahout framework to develop and realize a book Intelligent Retrieval System.So that we can achieve the purpose of providing readers with an optimized search results and personalized recommendation Information.