ThinkAnalytics and Gracenote in Personalized Imagery Deal

Personalized content and viewer insights provider ThinkAnalytics and Nielsen's entertainment metadata specialist Gracenote have partnered to launch a solution through which TV providers can improve image-based personalized video search and recommendations.

Glasgow-headquartered ThinkAnalytics offers a Personalized Images content recommendations algorithm - built on advanced AI techniques and data science - which, through the deal, is integrated with Gracenote's Personalized Imagery offering, providing a set of images for each TV and movie title. With this combined offering, cable and satellite TV services and streaming platform customers can access the new solution to optimize visual content merchandising and personalize the user experience.

Los Angeles-based Gracenote's Personalized Imagery solution delivers a set of program images representing distinct aspects of an entertainment title, with each individual image tagged with relevant Gracenote Video Descriptors and Celebrity IDs. The Gracenote metadata associated with the imagery is used by ThinkAnalytics' advanced AI and machine learning algorithms built into its content discovery platform, to help uncover the optimal image for each viewer, based on preferences and history.

Peter Docherty, CTO and founder of ThinkAnalytics, says that his firm has proved that viewers connect with content in different ways through visual images, which he describes as a 'breakthrough' for how service providers can recommend content via their user experience data. Simon Adams, Chief Product Officer, Gracenote, adds: 'Improving content discovery by making it more personal and visually driven holds the potential to help entertainment providers of all sizes move the needle on key business metrics. We are thrilled that this new turnkey solution enables customers to maximize engagement with content and viewership on their platforms.'

Web sites: www.gracenote.com and www.thinkanalytics.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.

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