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The Design And Implementation Of Book Borrowing Recommendation System

Posted on:2018-09-02Degree:MasterType:Thesis
Country:ChinaCandidate:W ChenFull Text:PDF
GTID:2348330515496352Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Modern society is in a very rapid development stage,the Internet on the financial and entertainment technology and other aspects of information every day flocked to this,which led to the demand for personalized service,and its requirements will gradually increase.People in more convenient access to resources must also spend a lot of time to locate,retrieve.Extension of current information on campus,colleges and universities at home and abroad uses database technology to solve complex and large amounts of digital information,so as to realize the information of books management.However,the student loan information as one of the most important data in the library's circulation management,use these data to break down information barriers,integration of digital resources,digging the borrower's interest and provided reasonable book recommendation service that meets their needs became an important aim of digitalization construction of colleges and universities.Study of this thesis in the resolve library management platform for personalized recommendation in question.To read user information,access to library information,automatic renewals,reservations and other functions on the basis of,through new methods,new ideas and new technologies in the field of software engineering to precision analysis and dig out the reader's needs and the individual needs of each user,thus develop different personalization policies for different users.Breakthrough of this thesis is to recommend systems of thought combined with library management services,a deep understanding of the needs of teachers and students,on the basis of further books personalized loan recommendation system is designed and implemented.Combines the characteristics of existing library management finally achieved results meet the user's requirements.
Keywords/Search Tags:Personalized Lending, Recommended System, Collaborative Filtering, Book Borrow Recommend
PDF Full Text Request
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