Е. М. Зайцева Within the framework of the R&D project theme: “Open access in research and information activity and development of open archive multifunctional system consistent with open license mechanisms and artificial intelligence elements”, the RNPLS&T specialists explore into the use of recommendation systems in the library information sphere and related domains. The purpose of the study is to find key approaches toward development of recommendation systems and to forecast the possible prospects for them. The author applies the methods of content analysis of relevant publications on recommendation systems, and analyzes the functionality of recommendation systems in the library information practice. She describes various approaches to recommendation systems in national and foreign practices in various spheres, defines key technologies of recommendation systems use in libraries, i. e collaborative and content filtration. The author concludes on the viability of the content filtration. The options for linguistic tools in recommendation systems with content filtration are examined, the corresponding options are suggested for the library and information sphere. The tasks for recommendation systems are formulated, the promising vectors for recommendation service are outlined. The suggestions for recommendation systems may be applied for building recommendation services in the library information practice.
Научная статья 
классификационные системы