By now everyone who has shopped for music or books online is well familiar with the section of the website that tells them, “If you like this, you'll also like this.” Simple item-to-item connections based on statistical “shopping cart analysis” have been the basis of recommendations systems for a long time. But as users have become more sophisticated over the years in their access to information and proficiency with digital media delivery systems, our clients find that their customers need more tailored, intelligent software to meet the rising expectations for intelligent recommendations. Having worked on these problems since 2000, MediaUnbound has developed a full suite of solutions that we can customize to our clients’ products, use-case by use-case. Through making use of these different applications, and never losing sight of our focus on the user, we can create the kind of smart, quality recommendations that our clients need.

The applications that we list on these pages are a sample of the kinds of modules we can include in our software. All media delivery systems are unique, with different platforms and user demographics. We work closely with each of our clients to build a product that satisfies their particular need, customizing our software for their unique needs.