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In Ciapple, we develop machine learning and data mining based solutions for e-commerce businesses. We allow them to have their website personalized to their users. For example, when a user login to his account, he would see items that matches his shopping and browsing behavior. It is a way in which any online merchant could have technology features like Amazon in displaying relevant and personalized items to its subscribers according to their demographics, items ranks and social comments, what similar users liked or bought, what are the similar items…
The solution enhances the user experience and increases the revenue of the e-commerce business. Among our recent clients is ChoozOn.com, an innovative company based in USA that filters and ranks deals/commercial offers to its subscribers in a personalized way according to the subscribers preferred brands and historical behaviors.
- Date June, 2009 | Type Seed | Source European Union