Master theses
Recommendation system for Data Dictionary application.
Author
Valeriy Lyalin
Year
2022
Type
Master thesis
Supervisor
Ing. Michal Peroutka
Reviewers
Ing. Stanislav Kuznetsov, Ph.D.
Department
Summary
The thesis aims to analyze and build a prototype of a recommendation system for a Data Dictionary application. This work consists of three parts. The first part starts with outlining Data Dictionary and uses cases of the application. Then it provides an overview of recommendation systems. The second part contains the design, implementation, tuning, and evaluation of different recommendation techniques, such as content-based recommendation, collaborative filtering, and session-based recommendation. The last part analyzes achieved results and focuses on a model selection for the application.