Abstract
In this paper, we study factors that influence tag reuse behavior in social
tagging systems. Our work is guided by the activation equation of the cognitive
model ACT-R, which states that the usefulness of information in human memory
depends on the three factors usage frequency, recency and semantic context. It
is our aim to shed light on the influence of these factors on tag reuse. In our
experiments, we utilize six datasets from the social tagging systems Flickr,
CiteULike, BibSonomy, Delicious, LastFM and MovieLens, covering a range of
various tagging settings. Our results confirm that frequency, recency and
semantic context positively influence the reuse probability of tags. However,
the extent to which each factor individually influences tag reuse strongly
depends on the type of folksonomy present in a social tagging system. Our work
can serve as guideline for researchers and developers of tag-based recommender
systems when designing algorithms for social tagging environments.
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