TiVo metadata for back catalogues

TiVo Corporation has introduced Studio, Broadcast and Network Metadata Packages. TiVo’s enhanced metadata, incorporating themes, keywords, images and related programmes, will allow studios, broadcasters and networks to increase the visibility of their catalogues.
“Studios, broadcasters and networks make large investments to bring the most compelling content to their viewers, but they frequently have large untapped back catalogues that are not being maximised against an increasing number of fragmented distribution opportunities,” said Roz Ho, senior vice president and general manager of metadata, TiVo. “By analysing these catalogues, TiVo can build stronger connections and deliver enhanced metadata that will better optimise the content for greater discoverability.”
Across the industry, search and discovery systems are evolving from one-size-fits-all to intuitive, recommendation-based offerings. Viewers are starting to expect highly personalised, voice-enabled conversational interfaces with sophisticated learning engines and robust user profiles that can anticipate intent and connect audiences with the right content using natural language. These intuitive search and discovery experiences require deeper, real-time and regionalised metadata.
TiVo’s Studio, Broadcast and Network Metadata Packages are the perfect solutions for studios, broadcasters and networks, creating smarter, stronger connections between entertainment, prioritising content by popularity and optimising keyword relevancy.
• Knowledge Graph Engine: TiVo is the only metadata provider that can generate dynamic, regionalised metadata using TiVo’s Knowledge Graph Engine. It provides discovery systems with a deeper understanding of entertainment content, how it relates to each other and most importantly, the strength of those connections. It enables more contextually-relevant discovery experiences by assessing what is happening in a specific part of the world at any moment and relating that to entertainment content to anticipate what viewers will want next
• Enhanced connections: TiVo’s unique machine learning technology also identifies relevant connections between content along with the strength of the relationship, enabling search and recommendation systems to present related content when appropriate. For example, articles on a content producer’s web properties can now be mapped to informative profile pages, creating more opportunities to consume media
• Trending content: TiVo continuously assesses the popularity and relevance of content, enabling discovery systems to anticipate consumers’ interests and more effectively merchandise catalogues by prioritising and promoting popular content. For example, recommendations need to be aware of popularity in order to find the right balance between giving a certain amount of familiar recommendations to gain trust, while also giving a certain number of novel recommendations that enable discovery. Popularity can also be used to prioritise predictive search results, connecting users with the content they’re looking for as quickly as possible
• Keyword relevancy: An expanded set of descriptive metadata creates new ways to discover content, increasing the visibility of a content producer’s catalogues. For example, keywords that provide a deeper understanding of content enable more relevant recommendations and make content more searchable
TiVo’s deep, real-time, regionalised metadata can be seamlessly distributed to various platforms, enabling new ways to discover content. The company’s scalable, multi-format delivery support also ensures seamless availability to various distribution platforms and internal standards.

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