Development of Recommendation System

Student: Zheleztsova Irina

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Final Grade: 7

Year of Graduation: 2020

Recommendation systems play important role in the modern world. These systems produce a ranked list of items which may help users with decision making. Recommendation systems can be designed for films, books, communities, news, articles, etc. The paper describes the main algorithms used in recommendation systems. The task definition is given to find N top recommendations. Experiments are conducted on the data of MovieLens. The results of experiment are reviewed using a root-mean-square error approach. The conclusions about the methods used are drawn based on the findings. The main purpose of the work is to build several recommendation systems and compare their work.

Full text (added May 24, 2020)

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