Search Results for author: Aleksandr Farseev

Found 4 papers, 0 papers with code

Personality-Driven Social Multimedia Content Recommendation

no code implementations25 Jul 2022 Qi Yang, Sergey Nikolenko, Alfred Huang, Aleksandr Farseev

In order to run organic and paid social media marketing efficiently, it is necessary to understand the audience, tailoring the content to fit their interests and online behaviours, which is impossible to do manually at a large scale.

Marketing Recommendation Systems

Two-Faced Humans on Twitter and Facebook: Harvesting Social Multimedia for Human Personality Profiling

no code implementations20 Jun 2021 Qi Yang, Aleksandr Farseev, Andrey Filchenkov

We have also found that the selection of a machine learning approach is of crucial importance when choosing social network data sources and that people tend to reveal multiple facets of their personality in different social media avenues.

Decision Making

SoMin.ai: Personality-Driven Content Generation Platform

no code implementations30 Nov 2020 Aleksandr Farseev, Qi Yang, Andrey Filchenkov, Kirill Lepikhin, Yu-Yi Chu-Farseeva, Daron-Benjamin Loo

Guided by the MBTI personality type, automatically derived from a user social network content, SoMin. ai generates new social media content based on the preferences of other users with a similar personality type aiming at enhancing the user experience on social networking venues as well diversifying the efforts of marketers when crafting new content for digital marketing campaigns.

Marketing

I Know Where You Are Coming From: On the Impact of Social Media Sources on AI Model Performance

no code implementations5 Feb 2020 Qi Yang, Aleksandr Farseev, Andrey Filchenkov

Specifically, in this work, we will study the performance of different machine learning models when being learned on multi-modal data from different social networks.

BIG-bench Machine Learning

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