@inproceedings{dominguezgarcia2012freset,
  abstract = {FReSET is a new recommender systems evaluation framework aiming to support research on folksonomy-based recommender systems. It provides interfaces for the implementation of folksonomy-based recommender systems and supports the consistent and reproducible offline evaluations on historical data. Unlike other recommender systems framework projects, the emphasis here is on providing a flexible framework allowing users to implement their own folksonomy-based recommender algorithms and pre-processing filtering methods rather than just providing a collection of collaborative filtering implementations. FReSET includes a graphical interface for result visualization and different cross-validation implementations to complement the basic functionality.},
  acmid = {2365939},
  address = {New York, NY, USA},
  author = {Dom\'{\i}nguez Garc\'{\i}a, Renato and Bender, Matthias and Anjorin, Mojisola and Rensing, Christoph and Steinmetz, Ralf},
  booktitle = {Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web},
  doi = {10.1145/2365934.2365939},
  interhash = {489207308b5d7f064163652763794ce6},
  intrahash = {c78b033eb1b463ff00c4fc67ed8bf679},
  isbn = {978-1-4503-1638-5},
  location = {Dublin, Ireland},
  numpages = {4},
  pages = {25--28},
  publisher = {ACM},
  series = {RSWeb '12},
  title = {FReSET: an evaluation framework for folksonomy-based recommender systems},
  url = {http://doi.acm.org/10.1145/2365934.2365939},
  year = 2012
}