Rafe Needleman recently reviewed Nanocrowd, a movie recommendation engine that uses semantic analysis to provide users with optimal film suggestions. Needleman writes, “Rather than collect your viewing history and asking you to rank what you’ve seen (as Netflix and Tivo do), Nanocrowd lets you start with one movie and then it tries to tease out what it is about that film that you’re liking right now. Then it finds more like that.”

He continues, “For example, if you say you liked District 9, the app will give you a list of three-word options to narrow down recommendations that spawn from that. Choose ‘Gory Aliens Monster’ and the app will recommend Altered and Horror Planet. Or select ‘Space Humans Humanity’ and you’ll get Contact and Blade Runner. It’s easy to see how both lists are related to the seed movie, yet they clearly address two different moods someone who likes District 9 might be in.”

Needleman adds, “The app can launch a streaming app on your iPhone if a movie you want to watch is on a service like Netflix, or it can kick off a search on iTunes or the Amazon site. Nanocrowd created its categories by analyzing the words people use on other reviews sites to describe movies. The recommendations were good when I tried the service, so based on the results, I’d say the semantic technology the company has works well.”

Read more here.

Image: Courtesy Nanocrowd