Aiming to transform how audiences discover and engage with content, Metaprofile has launched its metaDNA solution featuring a “genetic” profiling system.
metaDNA uses a semantic analysis framework to assign content assets with individual “genetic” profiles. While traditional metadata focuses on attributes such as genre or cast, metaDNA captures semantic elements including tone, plot structure, mood, themes and stylistic features, a more nuanced approach which the company likened to decoding content’s DNA.
By leveraging this metadata, content providers can improve content organisation, increase viewer retention and drive engagement via smarter recommendations and discovery tools, said Metaprofile.
Going beyond keyword matching, users can find content based on complex criteria with recommendations tailored to meet the selected “genes”, experiencing content discovery more aligned with their tastes and expectations.
Admir Đozović, CEO at Metaprofile, said, “We believe content discovery will never be the same. By creating these unique semantic profiles, metaDNA empowers search engines and recommendation systems to deliver highly personalised and contextually relevant results. Viewers will experience a new level of engagement, discovering content that truly resonates with their preferences and emotional expectations.”
