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Sam Vasisht of Veveo recently wrote an article for Wired in which he states, “Leading mobile, web and social companies such as Google, Apple and Facebook are driving towards paradigm shifts in redefining user experience. Such experiences include intelligent voice driven interfaces and predictive personalized discovery of content as represented in services such as Google NOW, Facebook Graph Search and Apple Siri, for example. As users experience such shifts in usability in web and mobile applications, the question that television programmers should be asking themselves is whether television is keeping up with the new expectations that users are likely to have as a result?”

He continues, “One of the essential enabling technologies for these new experiences is graph-based search and discovery. Such a graph (aka ‘knowledge graph’) is a semantic database of named entities, where the relationships between entities are dynamically mapped for predictive and intelligent results for search and discovery. As the TV viewing experience becomes increasingly complex with thousands of VoD titles, hundreds of linear TV channels and millions of online video titles, traditional lexical metadata and structured menu-driven search and navigation prove difficult and cumbersome. A knowledge graph-based semantic approach creates intuitive discovery and access for large amounts of programming, providing user experiences pari passu with the new usability on web and mobile.”

Read more here.

Image: Courtesy Flickr/ Capt Kodak