Periodic Reporting for period 1 - PAAL-POC (Practical Approximation Algorithms - Proof of Concept)
Reporting period: 2015-11-01 to 2017-04-30
of machine learning tools and algorithms for the prediction of user behavior, user classification, or in recommendation systems. This spin-off should answer the above need for managing digital data in an advanced wasy.
During the course of the project we have build algorithmic and machine learning models that extrapolate user behaviour from real-world data. We concentrated on generic implementations that would be applicable in the wide spectra of contexts. The create methods are available as a stand-alone solution or as a web service. The second of these options delivers an easy to deploy solution. In the commercialization step we have seek contacts with the eCommerce companies directly and offer them our services. This resulted in several projects that are being realized now via the spin-off company.