Comparative evaluation in the areas of User Modeling, Adaptation and Personalization (UMAP) is significantly challenging. It has always been difficult to rigorously compare different approaches to personalization, as the function of the resulting systems is, by their nature, heavily influenced by the behavior of the users involved in trialing the systems. Developing comparative evaluations in this space would be a huge advancement as it would enable shared comparison across research. Here we present a proposal for a shared challenge generation in UMAP, focusing on user model generation using logged mobile phone data, with an assumed purpose of supporting mobile phone notification suggestion. The dataset, evaluation metrics, and challenge operation are described.