@incollection{cantador2011semantic,
  abstract = {We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambiguation and contextualisation cases, and an offline study measuring the performance of several tag-powered item recommendation algorithms by using contextualised profiles. The results obtained show that our approach is able to accurately determine the actual semantic meanings and contexts of tag annotations, and allow item recommenders to achieve better precision and recall on their predictions.},
  address = {Berlin/Heidelberg},
  affiliation = {Departamento de Ingeniería Informática, Universidad Autónoma de Madrid, 28049 Madrid, Spain},
  author = {Cantador, Iván and Bellogín, Alejandro and Fernández-Tobías, Ignacio and López-Hernández, Sergio},
  booktitle = {E-Commerce and Web Technologies},
  doi = {10.1007/978-3-642-23014-1_9},
  editor = {Huemer, Christian and Setzer, Thomas and Aalst, Wil and Mylopoulos, John and Rosemann, Michael and Shaw, Michael J. and Szyperski, Clemens},
  interhash = {b2359e659cf8c02ba8e9fc8db014aafc},
  intrahash = {ac6d55bacc85f75a4711a1c48526dfd6},
  isbn = {978-3-642-23014-1},
  keyword = {Computer Science},
  pages = {101--113},
  publisher = {Springer},
  series = {Lecture Notes in Business Information Processing},
  title = {Semantic Contextualisation of Social Tag-Based Profiles and Item Recommendations},
  url = {http://dx.doi.org/10.1007/978-3-642-23014-1_9},
  volume = 85,
  year = 2011
}