Research on library long-tail server based on K-means algorithms
Yao Jia, Jiayi Yao, Yajing Li · AIP conference proceedings · 2019
The rapid development of Internet affects all walks of life in our society, And the library service industry is the first to be affected, Electronic information publishers, together with Internet content providers are all competing in taking over the book information market actively, the development of the situation the Library facing is very serious, Taking advantages of the combination of library’s traditional superiority with advanced technology will be the key pose to mend matters, Needless to say that it is a very arduous task, This paper uses the method of data mining to explore how to apply the long tail theory to the library service field and put forward the concept of "library long tail service", On the basis of analyzing the applicability of the long tail theory in the field of library service, this paper puts forward the library long tail service data mining system based on the keyword text clustering, and according to the characteristics of the data generated by the library service, In the library long tail service research theory, methods and techniques, and carried out the algorithm improvement.