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 personality traits and users' behavior on various social media platforms is of crucial importance to modern research and industry applications. The emergence of diverse and cross-purpose social media avenues makes it possible to perform user personality profiling automatically and efficiently based on data represented across multiple data modalities. However, the research efforts on personality profiling from multi-source multi-modal social media data are relatively sparse, and the level of impact of different social network data on machine learning performance has yet to be comprehensively evaluated.
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 facilitating the automatic creation of content that appeals to different human personality types. The platform can be used for enhancement of the social networking user experience as well as for content marketing routines. 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.
March 9 saw the launch of the principal phase of Sber500, Sber and 500 Startups’ international accelerator program. The 25 best startups were chosen to work individually with Silicon Valley mentors over the next eight weeks and present their projects on Demo Day to Sber ecosystem executives and leading Russian and international corporations and funds.
The accelerator received entries from approximately 1,800 startups from countries all over the world – almost three times the applicants for the previous two Sber500 batches. Aside from Russia, this year’s submissions came from countries including Singapore, Israel, Germany, Kazakhstan, Latvia, Belarus, and Estonia. The vast majority of projects submitted (over 70%) have already closed their first deals and are based on B2B and B2B2C business models. Around 60% of all submissions were startups working with e-commerce, logistics, marketing, and Data Analytics.
Artificial intelligence has completely redefined the world we live in today. Now, our mornings start with personal assistants waking us up and laying our favorite playlists. Bots help customers with their questions and issues about the services and products they have purchased. And now, artificial intelligence is capable of redefining influencer marketing with the power of creating a persona.
Meet Maya — the next-generation virtual influencer set to transform the concept of brand marketing.
The SoMin.ai startup, which improves its ad targeting using artificial intelligence, has entered an emerging market. A Singapore-based startup uses big data and artificial intelligence to boost conversions.
In targeted advertising from Citibank, AI increased conversion by 53% and reduced the cost of customer contacts by 43%, SoMin.ai founder Alex Farseev told DP. The Lenta network noted a 2.5-fold improvement in the effectiveness of an advertising campaign. Somin.ai is currently working with MTS.