  This article analyzes the reception of a novel algorithmic recommendation of
documentary films by a panel of moviegoers of the T{\"e}nk platform. In order
to propose an alternative to recommendations based on a thematic
classification, the director or the production period, a set of metadata has
been elaborated within the framework of this experimentation in order to
characterize the great variety of ``documentary filmmaking dispositifs'' . The
goal is to investigate the different ways in which the platform's film lovers
appropriate a personalized recommendation of 4 documentaries with similar or
similar filmmaking dispositifs. To conclude, the contributions and limits of
this proof of concept are discussed in order to sketch out avenues of
reflection for improving the instrumented mediation of documentary films.
