This track addresses the application of Machine Learning and data products in general to business models that share the important aspect of online user interactions, and ultimately depend on the monetization of its user base. These include but are not limited to online media, online advertisement, online games, online marketplaces and classifieds.

Digitalization is completely transforming business models or opens the possibility for completely new and innovative online products. Data and Machine Learning play a central role in this transformation, allowing to build products that customers really want, optimize revenues or build products in which data and Machine Learning are part of the features-set. To this end, understanding the user base and the way the user base interacts with the products is crucial. For example when building recommenders, running targeted marketing campaigns or performing data-driven expansion of content. This is of utmost importance since the right product-user fit is essential to successfully fund a non-tangible online product, either by advertisement, subscriptions or other fees. This track aims to bring Machine Learning practitioners from different areas in online business together who ultimately face the same problems.