Development of Prediction Platform for Context Advertisement

Student: Korolev Kirill

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Infocommunication Technologies and Systems (Bachelor)

Year of Graduation: 2020

In this paper, the program complex was developed on the programing language python 3.6. Its target is calculate conversion probabilities cites based on the users visits data. These probabilities were sorted, and the result was compared with classic attribution methods. The number of words is 5544, number of illustrations is 8 and number of tables is 3.

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