One important issue for a collaborative design framework is the intuitive manner designers describe scenes. To address the humans’ subjective description of a scene, personalization mechanisms are incorporated in the proposed architecture. In this paper, we examine different pattern analysis and machine intelligence algorithms for profiling in such framework. Two main approaches are described; the single (independent) profile estimation and the collaborative (dependent) case. Experimental results are presented to illustrate the efficiency of the proposal user’ profile methodologies.