Miami-based startup Senzari announced today the expansion of its entertainment graph services with the debut of MovieGraph. Senzari is a music data company that uses innovative graph computing and machine learning techniques to create a recommendation engine.
MovieGraph will leverage Senzari's approach to connecting and extracting knowledge from large datasets to provide more affordable and customized search and recommendation services for TV and movie content — delivering insights to anyone with access to its API. This announcement marks Senzari's expansion into the TV and movie industry from its deep roots in the semantic music space.
In the last few years, the music industry has used technology to create data that has an influence on how we buy, play, and discover new music. Senzari's first product, MusicGraph, mines more than 7 billion data properties to enable clients, ranging from record labels to streaming services, to better understand their catalogs and consumer behavior — powering song recommendation, graph search services, and complex graph analytics. MovieGraph uses many techniques already perfected for MusicGraph to develop detailed semantic graphs around video content, accurately connecting every TV show or movie's directors, writers, and actors to all publicly available information including reviews, news articles, and metric data.
“Senzari is dedicated to bringing much-needed transparency and flexibility to the film intelligence space,” said Bill Hajjar, CEO of Senzari. ” What a viewer likes should be determined by much more than just a genre or favorite actor. What about common soundtracks? Which device is she using, and is she viewing alone or with her family? MovieGraph makes it easy and cost-effective to build a recommendation experience that reacts in real-time to the user's feedback and context, providing a more dynamic experience.”
Demian Bellumio, Senzari COO, credits Senzari's experience in music services as the catalyst to build a better partner for the film industry.
“The music industry is hacker-friendly with an enormous developer community,” commented Bellumio. “We've become a trusted partner by embracing that ‘share-break-build' mentality. Most movie intelligence solutions in the market have a restrictive, ‘black box' approach, sharing limited data while forcing a complex and costly sales integration process.
By leveraging MovieGraph's unique graph API, clients can easily create user profiles, enhance their ontology with proprietary datasets, and even track the type of device used and location for a more contextual recommendation service to perform deeper analytics.
The service was debuted at DEW Expo and will be available March 2015.