MovieGraph from Senzari Offers a Better Way to Find Movies
March 5, 2015
The article on Dataversity titled Creating Detailed Semantic Graphs Around Video Content with MovieGraph suggests a possible breakthrough in video sense making. MovieGraph is the platform of entertainment data company Senzari. Chief Operating Officer Demian M. Bellumio spoke to the methods utilized by MovieGraph, which include machine learning and an API for recommendations. The article continues to refer to Bellumio’s statements,
“Senzari focused on metadata while building MovieGraph. He also said that Senzari trained machine learning algorithms to break down the narratives of movies, extracting the data with precision across each element. The company designed their own matrix for cataloging movies; MovieGraph uses machine learning techniques to semantically tag and organize every movie and TV show across hundreds of dimensions. Senzari also added proprietary narrative features to MovieGraph such as setting, conflict, symbols or tones present in a film.”
The possibilities for recommendations seem much more targeted than the Netflix model, which often makes suggestion based on categories that are too wide and abstracted to be accurate. The article mentions that since Netflix only recently closed its public API, MovieGraph may be in a position to fill that gap. MusicGraph is also built to work with MusicGraph, another Senzari platform. Content creators in particular might find the crossover to be useful in terms of finding appropriate content for their projects.
Chelsea Kerwin, March 05, 2015
Sponsored by ArnoldIT.com, developer of Augmentext
Comments
-
- Subscribe to Beyond Search
Feature archive
News archive
-
