Optimal User Profiling Based on Historical Data

Student: Khairullin Ravil

Educational Programme: Data Science (Master)

Year of Graduation: 2020

In modern world, everyone has face with targeted advertising. One of the tasks that appears in this area is the task of profiling the user according based on a historical data. This paper discusses several ways to build a vectorization of user history. Among the methods used are a neural network model, Factorization machine, and TF-IDF.

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