  It is common practice nowadays to use multiple social networks for different
social roles. Although this, these networks assume differences in content type,
communications and style of speech. If we intend to understand human behaviour
as a key-feature for recommender systems, banking risk assessments or
sociological researches, this is better to achieve using a combination of the
data from different social media. In this paper, we propose a new approach for
user profiles matching across social media based on embeddings of publicly
available users' face photos and conduct an experimental study of its
efficiency. Our approach is stable to changes in content and style for certain
social media.
