Recommender System for Predicting User Interest Based on His Media Profile

Student: Grigoreva Iuliia

Educational Programme: Business Informatics (Master)

Year of Graduation: 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.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses