Zobrazeno 1 - 10
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pro vyhledávání: '"Farseev, Aleksandr"'
Autor:
Farseev, Aleksandr, Yang, Qi, Ongpin, Marlo, Gossoudarev, Ilia, Chu-Farseeva, Yu-Yi, Nikolenko, Sergey
Online marketing faces formidable challenges in managing and interpreting immense volumes of data necessary for competitor analysis, content research, and strategic branding. It is impossible to review hundreds to thousands of transient online conten
Externí odkaz:
http://arxiv.org/abs/2407.13117
Social media marketing plays a vital role in promoting brand and product values to wide audiences. In order to boost their advertising revenues, global media buying platforms such as Facebook Ads constantly reduce the reach of branded organic posts,
Externí odkaz:
http://arxiv.org/abs/2207.12236
Human personality traits are the key drivers behind our decision-making, influencing our life path on a daily basis. Inference of personality traits, such as Myers-Briggs Personality Type, as well as an understanding of dependencies between personali
Externí odkaz:
http://arxiv.org/abs/2106.10673
Autor:
Farseev, Aleksandr, Yang, Qi, Filchenkov, Andrey, Lepikhin, Kirill, Chu-Farseeva, Yu-Yi, Loo, Daron-Benjamin
In this technical demonstration, we showcase the World's first personality-driven marketing content generation platform, called SoMin.ai. The platform combines deep multi-view personality profiling framework and style generative adversarial networks
Externí odkaz:
http://arxiv.org/abs/2011.14615
Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending. In fact, instant communication with friends and colleagues has become an essential component of our daily interaction givin
Externí odkaz:
http://arxiv.org/abs/2002.01726
Publikováno v:
AAAI
Nowadays, social networks play a crucial role in human everyday life and no longer purely associated with spare time spending. In fact, instant communication with friends and colleagues has become an essential component of our daily interaction givin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac01a48f402dd282338acae605801073
https://doi.org/10.1609/aaai.v34i10.7258
https://doi.org/10.1609/aaai.v34i10.7258
Akademický článek
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Akademický článek
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Publikováno v:
ACM SIGWEB Newsletter; July 2016, Vol. 2016 Issue: 3 p1-11, 11p
Autor:
Yang Q; Machine Learning Lab, ITMO University, St. Petersburg, Russia.; Somin Research, SoMin.AI, Singapore, Singapore., Farseev A; Machine Learning Lab, ITMO University, St. Petersburg, Russia.; Somin Research, SoMin.AI, Singapore, Singapore., Nikolenko S; Somin Research, SoMin.AI, Singapore, Singapore.; Steklov Institute of Mathematics at Saint Petersburg, St. Petersburg, Russia., Filchenkov A; Machine Learning Lab, ITMO University, St. Petersburg, Russia.
Publikováno v:
Frontiers in big data [Front Big Data] 2022 Aug 03; Vol. 5, pp. 931206. Date of Electronic Publication: 2022 Aug 03 (Print Publication: 2022).