For the popular task of tag recommendation, various (complex) approaches have been proposed. Recently however, research has focused on heuristics with low computational e ort and particularly, a time-aware heuristic, called BLL, has been shown to compare well to various state-of-the-art methods. Here, we follow up on these results by presenting another time-aware approach leveraging userinteraction data in an easily interpretable, on-the-y computable approach that can successfully be combined

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... th BLL. We investigate the in uence of time as a parameter in that approach, and we demonstrate the e ectiveness of the proposed method using two datasets from the popular public social tagging system BibSonomy.