Content-based Dimensionality Reduction for Recommender Systems

Panagiotis Symeonidis. Content-based Dimensionality Reduction for Recommender Systems. In Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker, editors, Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007. Studies in Classification, Data Analysis, and Knowledge Organization, pages 619-626, Springer, 2007. [doi]

@inproceedings{Symeonidis07,
  title = {Content-based Dimensionality Reduction for Recommender Systems},
  author = {Panagiotis Symeonidis},
  year = {2007},
  doi = {10.1007/978-3-540-78246-9_73},
  url = {http://dx.doi.org/10.1007/978-3-540-78246-9_73},
  tags = {rule-based, recommender systems},
  researchr = {https://researchr.org/publication/Symeonidis07},
  cites = {0},
  citedby = {0},
  pages = {619-626},
  booktitle = {Data Analysis, Machine Learning and Applications - Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007},
  editor = {Christine Preisach and Hans Burkhardt and Lars Schmidt-Thieme and Reinhold Decker},
  series = {Studies in Classification, Data Analysis, and Knowledge Organization},
  publisher = {Springer},
  isbn = {978-3-540-78239-1},
}