@inproceedings{wetzker2009hybrid,
  abstract = {In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags. Rather than following a collaborative filtering or annotation-based approach to recommendation, we extend the probabilistic latent semantic analysis (PLSA) approach and present a unified recommendation model which evolves from item user and item tag co-occurrences in parallel. The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations. Experimental results on a large snapshot of the <i>delicious</i> bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.},
  acmid = {1506255},
  address = {New York, NY, USA},
  author = {Wetzker, Robert and Umbrath, Winfried and Said, Alan},
  booktitle = {Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval},
  doi = {10.1145/1506250.1506255},
  interhash = {5a4e686feaa38748f7eac2c8a3afe51e},
  intrahash = {733e1968baace40173bd30486b49a8f0},
  isbn = {978-1-60558-430-0},
  location = {Barcelona, Spain},
  numpages = {5},
  pages = {25--29},
  publisher = {ACM},
  series = {ESAIR '09},
  title = {A hybrid approach to item recommendation in folksonomies},
  url = {http://doi.acm.org/10.1145/1506250.1506255},
  year = 2009
}