Development of a Machine Learning Algorithm that Will be Applied to Audience Measurement Tasks (Based on Data from Set-Top Boxes)

Student: Odintseva Kristina

Educational Programme: Marketing Communications and Advertising in Modern Business (Master)

Year of Graduation: 2019

The master's thesis is devoted to the development of a machine learning algorithm for measuring television audience. According to the results of the study, it was determined that despite a sufficient number of ways to obtain data about the television audience, the issue of efficient and affordable processing and analysis of the received data arrays is still open. The television market needs a uniform methodology for processing data in order to get a unified view of media consumption in Russia. In this paper, an algorithm was developed, that allows a researcher to obtain a portrait of this viewer (group of viewers) by the distribution of data on television viewing (in minutes). The probability of the received TV viewing patterns, on the basis of which the algorithm can be concluded about the audience, is 70%.

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