  In this paper, we present the results of an online study with the aim to shed
light on the impact that semantic context cues have on the user acceptance of
tag recommendations. Therefore, we conducted a work-integrated social
bookmarking scenario with 17 university employees in order to compare the user
acceptance of a context-aware tag recommendation algorithm called 3Layers with
the user acceptance of a simple popularity-based baseline. In this scenario, we
validated and verified the hypothesis that semantic context cues have a higher
impact on the user acceptance of tag recommendations in a collaborative tagging
setting than in an individual tagging setting. With this paper, we contribute
to the sparse line of research presenting online recommendation studies.
