To (i) improve the performance of the recommendation system and (ii) alleviate the cold start problem, we propose to include structural and chemical properties of the materials that contribute to the prediction, in addition to the observed adsorption properties. For example, we could include in the model other information about the NPM structures, such as the void fraction, surface area, percent carbon atoms, etc. In the analogy with movie recommendation systems, this is analogous to including features about the movies, such as the genre, directors, year of production, and actors. These features could be added as additional (fully observed) columns in the material-property matrix, A.