While this paper focuses on the task of related video suggestion,
the findings of this work are broad, and are applicable
in a variety of large scale retrieval and recommendation
systems that employ topical content representations. As this
work shows, learning topic weights from user feedback have
the potential to significantly improve performance over the
standard non-supervised weighting approaches.