Saturday, October 22, 2011

Social Recommendations demo released

We at Roistr have released a demonstration of what our semantic relevance engine can do. With nothing other than a Twitter ID, we can extract a person's tweets and work out which of Amazon's current best-sellers will most fit that person.

It works using a semantic relevance comparison between the tweets (as a single document) and each book's editorial review ("blurb"). The assumption is that more similar texts imply closer interests.

You can try it out at and try anyone's Twitter ID.

The next step is to make it work using public posts from Facebook, GooglePlus and blogs!


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