@INPROCEEDINGS{MemmelKocklerSchirru+08,
  author = {Martin Memmel and Michael Kockler and Rafael Schirru},
  title = {Providing Multi Source Tag Recommendations in a Social Resource Sharing
	Platform},
  booktitle = {Proceedings of I-MEDIA '08},
  year = {2008},
  editor = {Hermann Maurer and Frank Kappe and Werner Haas and Klaus Tochtermann},
  pages = {226--233},
  month = {September},
  organization = {Know-Center, Graz},
  publisher = {Journal of Universal Computer Science},
  note = {ISSN 0948-695x},
  abstract = {In today's information environments, tagging is widely used to provide
	information about arbitrary types of digital resources.This information
	is created by end users with different motivations and for different
	kinds of purposes. When aiming to support users in the tagging process,
	these differences play an important role. This paper discusses several
	approaches to generate tag recommendations, and a prototypical recommender
	system for the social resource sharing platform ALOE will be presented.
	This interactive system allows users to control the generation of
	the recommendations by selecting the sources to be used as well as
	their impact. The component was introduced at DFKI, and a first evaluation
	showed that the recommender component was considered as helpful by
	a majority of users.},
  owner = {memmel}
}