Research On Personalized Information Service Of University Library Under Large Data Environment

With the development of internet, sensor network, social network and mobile intelligence technology, data has an explosive growth. The data structure type is also complicated.The vast amounts of data is full of every corner, all of these indicate the arrival of the big data era. In the era of big data, the information needs all users to become more and more personalizing and specializing.Faced with a wealth of information resources, it is hard for users to find the high accuracy information needs because of the difficulty of information choice. So, personalized information service comes into being.The concept of personalized information service meets users’ the individual information needs, and provide users with the initiative information. With the knowledge environment ubiquitous, the knowledge tools intelligent and the knowledge technology advancing, the using environment of university library has changed. The university library is an important channel for teachers and students to get information.In the ocean of information,an important challenge of university library is using the big data mining and analysis techniques to meet the individual needs of users, to provide users with a real personalized information services.Based on analyzing the relevant research results at domestic and abroad,the advance of big data technology is took into university library personalized information service system.With the existing system of personalized information service platform,combining the big data processing,university library build personalized information service system model based on big data.This study is divided into five chapters.Chapter one reviews the research status at home and abroad,describes the research background and significance of the study, then introduces the contents and methods of the study.Chapter two describes the relevant theories of the big data and university library personalized information service,at the same compares the big data and university library personalized information service,finding the similarities between them.Then from the development of university library personalized information service,find the feasibility of combining the university library and big data.The third chapter, firstly selects some university library website as sample on research.Then,adds up the personalized information services about website,points out the main problems of University Library personalized information services.At last,proposes the improve strategy by big data mining analysis techniques.The forth chapter under the previous theoretical studies,according to the basic situation of university Library personalized information service systems in our country at present,merge the data processing of big data.Finally,we build personalized information service system model based on big data.The model includes ten respective modules,and describes the basic function of eachblock in detail.The last chapter summarizes this thesis, points out the inadequacies of the study,and prospects the further research.