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It uses sentimental analysis from HPE HavenOnDemand API fed from tweets using the Twitter API to list recommendations for the user that are closest to the user's current interest . The keywords are generated at first using events from eventbrite API and then can be searched for more related keywords using extraction from other sites or twitter itself. Mass scalibility is its key features and using data mining from several sites, a great recommendation system becomes a reality..

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