Open AccessModels of virtual library users’ behavior analysis
Author(s) -
Gytis Vievesis,
Vytautas Janilionis,
Antanas Štreimikis
Publication year - 2021
Publication title -
lietuvos matematikos rinkinys
Language(s) - English
Resource type - Journals
eISSN - 2335-898X
pISSN - 0132-2818
DOI - 10.15388/lmr.2020.22521
Subject(s) - computer science , lithuanian , service (business) , software , server , world wide web , service quality , quality (philosophy) , information retrieval , data mining , database , operating system , philosophy , linguistics , economy , epistemology , economics
In this paper, we present models for the analysis of the behavior of the virtual library (VL) users. Unlike the models presented in the literature, they use only the big data that is stored in the log files of virtual library servers and methods of statistics, association rules, and recommendation systems. The proposed models were implemented with R software. Using the proposed models, the analysis of the behavior of VL users of Lithuanian research and study of higher education institutions was performed for the first time. The results showed that the proposed models allow to operatively analyze the behavior of virtual library users using advanced search filters, facets, and provide suggestions for improvement of service quality.