NDS Announces Jinni as First Company to Join Recommendations Engine Partner Programme
* NDS has launched its Recommendations Engine Partner Programme and names Jinni, the semantic discovery service, as the first company to participate
* NDS to offer the services of Jinni to its customers as a partner in Recommendation Engine based initiatives through the Recommendations Engine Partner Programme
LONDON, UK .– NDS, the leading provider of technology solutions for digital pay-TV, today announced the launch of its Recommendations Engine Partner Programme. Jinni, an innovative semantic discovery service for premium video content, is the first company to join the programme.
Through the Recommendation Engine Partner Programme, NDS will offer the services of Jinni as a partner to its customers in recommendation engine based initiatives.
Incorporating a recommendations service enables operators to offer additional content to consumers based on their current viewing profile, providing them with a powerful way to encourage subscribers to try new programmes and premium services.
Jinni’s semantic approach, based on proprietary algorithms, reflects the way people think and talk about entertainment, and enables intelligent content discovery by shifting the spotlight from rigid categories and keyword search to results that match the consumer’s taste.
“NDS’ global experience and established relationships in the digital pay-TV industry are invaluable to expanding the reach of our service,” said Mike Pohl, Chief Executive Officer, Jinni. “By joining this partner programme, Jinni is positioned as a crucial component of an end-to-end portfolio that will enable customers to more accurately relate to their subscribers and supply them with highly relevant viewing suggestions. Our technology dives deeper into consumers’ viewing habits to make it easier for them to find a programme or movie that could potentially be their next favourite.”
Using algorithms to analyse choices and content already viewed and enjoyed by a subscriber, Jinni’s semantic discovery engine provides personalised recommendations by creating a complex profile of the viewer.
“Finding new and interesting content is proving a chore for consumers – having to wade through hundreds of channels, they do not want to spend time looking for programmes to watch. The ability to provide contextually customized recommendations to a viewer increases content consumption and boosts satisfaction levels which in turn increases revenues and reduces churn for the operator” said Nigel Smith, Chief Marketing Officer, NDS. “As a result of our Recommendations Engine Partner Programme and it’s first partnership with Jinni, NDS can offer a selection of recommendation engines to our customers, allowing them to implement an exceptional end-to-end solution that will address these consumer desires and enable our customers to see increased revenue generation.”
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