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Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Iuliia Grigoreva
Recommender System for Predicting User Interest Based on His Media Profile
Business Informatics
(Master’s programme)
2019
In this study, a recommendation system was implemented in order to predict the user's non-predetermined interests based on his portfolio from social networks Facebook, Twitter and Reddit. The Reddit resource was chosen as a domain. The goal of the recommendation system is to form subreddits recommendations for users, in particular to users who do not have a Reddit account.

The study describes the most frequently used approaches to the implementation of recommendation systems, implementation the software tool for collecting user data from social networks Facebook, Twitter and Reddit using API calls, transformation retrieved data using Pentaho Data Integration (or Kettle) and prediction the most relevant subreddits for users using recommendation algorithms.

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