Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models

Akhmed Umyarov, Alexander Tuzhilin. Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models. In Lawrence D. Bergman, Alexander Tuzhilin, Robin D. Burke, Alexander Felfernig, Lars Schmidt-Thieme, editors, Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009. pages 37-44, ACM, 2009. [doi]

@inproceedings{UmyarovT09,
  title = {Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models},
  author = {Akhmed Umyarov and Alexander Tuzhilin},
  year = {2009},
  doi = {10.1145/1639714.1639722},
  url = {http://doi.acm.org/10.1145/1639714.1639722},
  tags = {rule-based, recommender systems},
  researchr = {https://researchr.org/publication/UmyarovT09},
  cites = {0},
  citedby = {0},
  pages = {37-44},
  booktitle = {Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009},
  editor = {Lawrence D. Bergman and Alexander Tuzhilin and Robin D. Burke and Alexander Felfernig and Lars Schmidt-Thieme},
  publisher = {ACM},
  isbn = {978-1-60558-435-5},
}