We're currently running a series of posts about recommendation technologies and in the comments of our last post about the Netflix Prize, a company called Jinni made itself known. Jinni is a kind of 'Pandora for movies', because it aims to recommend movies and tv shows to you based on its Movie Genome (aping Pandora's Music Genome Project). Jinni's genome project contains over two thousand "genes" that describe plot, mood, style, setting, soundtrack and more. Jinni says that its ontology was created by film professionals - much like Pandora employs people to create its unique music database.

Jinni says that its video content is automatically indexed, using a mixture of metadata and reviews. It has a strong Semantic Web component, as it uses a proprietary Natural Language Processing solution to assign semantic tags to content and users. The company claims that this allows Jinni to "rapidly index more titles, becoming the universal catalog for professional video." When it launched in December, Jinni had 10,000 movie, TV and video titles. It also offers APIs for Internet and TV content providers.