Development of Recommendatory System: Implementation of Microservices for Suggestions Formation

Student: Timofeev Mikhail

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2017

Recommender systems are very important in our life. Its helps people to choose clothes, listen similar music that people like to listen, eat healthy food, etc. Nowadays, recommender system can be implemented by only small count of companies because it’s very difficult to develop data processing pipeline. So universal recommender system would help many companies to deploy that system on their servers. Following method in research are used: recommender system methods and developing system method. Result of the paper is module for creating data processing pipeline with recommender system.

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