OpenTV, Jinni team up to cut through search clutter
With so many programming choices, viewers are on almost sensory overload when it comes to finding what they want to watch, but a new offering from OpenTV and Jinni will help them drill down on finding the shows that they’re in the mood for.
OpenTV and Jinni have collaborated on a new search and recommendation functionality that will allow viewers to find “mood-based” content. The feature, which analyzes video content by mood and plots to generate recommendations, will be part of the latest version of OpenTV’s Core2 middleware, which will be available in the fourth quarter.
OpenTV Core2’s integrated search will allow viewers to find content across multiple sources, as well as get programming recommendations based on personal tastes.
“This collaboration will change the way content is discovered on television,” said Tracy Geist, senior vice president of business development at OpenTV. “Jinni’s unique approach to search, discovery and recommendations is the perfect complement to our middleware technology, allowing consumers to easily find what they really ‘feel’ like watching. By integrating the Jinni technology with the integrated search features of our Core2 middleware, we’re enabling our customers to deliver a television-centric search product far beyond what is available today, and we believe this unique capability will be an exciting differentiator for our customers as they define their consumer experience.”
The feature allows viewers to search for content by using descriptive words instead of the exact title. Viewers can search directly for moods such as “funny,” “dark,” “suspenseful” or “gripping.” They can also add moods to more common search strings such as “era,” “actor” or “genre.”
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