Perspectives of Using Non-relational Databases by Developing Recommender System

Student: Sugrobov Dmitrii

Supervisor: Zinaida Avdeeva

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2016

This work reveals the theme of "Perspectives of Using Non-relational Databases by Developing Recommender System". The theoretical part describe the basics of databases, literature review, as well as detail the basic filtering methods in the construction of the recommender system. In the practical part of the work described features of designing recommender system based on non-relational graph databases, showed the necessity of the use of this type of database, and designed recommender system using NoSQL solutions. All main queries and measurements presented in comparison with the use of relational models. The final part deals with the possibility for the implementation of this software, as well as the conclusions on the work.

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