जिन्नी के साथ अपने मनोदशा के आधार पर फिल्में और टीवी खोजें

I’m co-founder and CEO. I’ve been with Jinni since our founding in 2008, and in the year and more leading up to that when we were discussing and working out the ideas.

I see Jinni as a gateway for people to choose what to watch in a smart, intuitive way – whether over the internet, TV (VOD), or video selection in game consoles. We’re working to build a universal catalog that includes all the quality professional and semi-professional video out there, and links to wherever it can be watched.

In the longer term future, I envision Jinni as a discovery engine for all experienced-based products: one place that understands your tastes in videos, games, books and even travel.

Netflix has a developer API that offers great opportunities for other services to link with them, for a richer user experience all around. Our use of the Netflix API followed on many user requests, and lets people easily integrate Jinni’s unique search and Movie-Genome-based recommendations with their Netflix accounts. From Jinni you can search semantically in the Netflix catalog, filter just by what’s on Watch Instantly, and add to your queue or start watching with a single click.

We plan to continue developing the Netflix API integration, with queue management, personalized alerts, and more. Aside from Netflix, we’ve also integrated with Hulu, and plan to integrate in the near future with other services like iTunes and Amazon Unbox.

At Jinni, we’re not trying to be a new social network. We’re focused on helping people find new movies and TV shows. But video is a social experience, and social interactions are of course an important part of the picture – checking what new movies your friends are watching, determining which movie a whole group of friends will enjoy, seeing what someone whose taste you like thought of a certain movie…. Those types of connections and discussions around movies and TV shows are the guidelines for the social aspects we’re developing now for Jinni.

I’ll take the chance to say a few words about Jinni’s technology. The idea behind our Movie Genome is to reflect how people really think and talk about what they watch. Our Movie Genome is based on an ontology developed by film professionals, and new titles are indexed with an innovative Natural Language Processing technology for analyzing metadata and reviews. Our semantic approach of analyzing video metadata and reviews to determine the “genes” of each title combines human insight and multiple perspectives (from many reviews) with the consistency and efficiency of automation. I believe this leads to a more natural and satisfying process of choosing what to watch based on personal moods and taste.