#Online media meta data services how to#
#Online media meta data services movie#

Viewers are starting to expect highly personalized, voice-enabled conversational interfaces that can anticipate intent and connect them with the right content using natural language.Д¬onsider sporting events: A viewer could ask, вЂњHow are the Giants doing in baseball?вЂќ and the system can zero down to San Francisco Giants by using the connection between that team and baseball. Machine learning can also enable conversational search and voice features, by leveraging the rich data that was automatically mined and deduced by machine learning. Machine learning can analyze large amounts of unstructured data and cut through the вЂњnoiseвЂќ to identify and tag the relevant data to map to keywords and deep descriptors, automatically creating connections. Machine learning takes basic metadata beyond cast, title and descriptions, and enables content to be enhanced with an extensive set of new data descriptors such as keywords, dynamic popularity ratings and moods. TiVo is among the first to use machine learning techniques in its metadata process to surface the most relevant content, quickly and at scale, to create strong connections to content. By combining machine learning with expert human curators, we can create a set of weighted connections and keywords across vast content types to filter out вЂњnoiseвЂќ and provide relevant and meaningful connections to video entertainment. TiVoвЂ™s approach to metadata helps address these problems by leveraging machine learning capabilities to help content owners and distributors increase the likelihood of content being discovered and ultimately viewed. Either way, the result of poor quality metadata can diminish customer experience and the content ownersвЂ™ ROI. With tight budgets and tighter deadlines to deliver this content, they donвЂ™t have the time or expertise to enrich their metadata properly. Smaller content owners, for their part, are also under pressure to monetize their content. These catalogs might not be up-to-date, lacking the right imagery or deep descriptors to support various search capabilities available today. Large content owners, for example, usually have a long-tail catalog they need to monetize. This deeper metadata is vital to providing accurate search results and intelligent recommendations, but mastering the art of metadata is proving to be challenging.

#Online media meta data services movie#

In the movie The Big Short, for example, terms such as вЂњhedge fund,вЂќ вЂњreal estateвЂќ or вЂњmortgageвЂќ are thematically very relevant to the film, but not completely intuitive elements in traditional search systems.Д®nhanced metadata that is automatically tagging these terms and other deep descriptors allows content owners to quickly create connections and serve customers faster and at scale. The rapidly evolving digital media landscape compels content owners and distributors to understand and define their content metadata at a much deeper and granular level. Enhanced metadata goes much further, with rich imagery, detailed actor background and an understanding of thematic elements or storyline, which is extremely valuable in improving content discovery for consumers. And to do that they need better content metadata, to improve the entertainment experience and to allow them to stand out in a crowded marketplace.Д¬ontent metadata is descriptive programming information, such as title, actors, description, release date, running time and genre. But to do that, content owners need to know precisely whatвЂ™s in their content. ThatвЂ™s why itвЂ™s imperative to make it simple for viewers to search, discover and view content.

#Online media meta data services how to#

This tsunami of entertainment is making it harder for consumers to find content they actually want to watch based on their personal preferences, presenting a challenge for content owners and distributors: how to get return on the billions of dollars spent on digital content if it canвЂ™t be easily found, watched, and shared - today and in the future? In fact, it would take a single viewer more than 5 million years to watch the amount of video that crosses global IP networks each month, according to a recent Cisco report. But viewers are struggling to wade through it all. With the rise of streaming services like Netflix and Amazon Prime Video, and the billions of dollars these services spend on original programming, there is more content available than ever. By Roz Ho, SVP and General Manager, Consumer and Metadata, TiVo вЂ“