Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems

Keyvan Vahidy Rodpysh, Seyed Javad Mirabedini, Touraj Banirostam. Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems. Electronic Commerce Research, 23(2):681-707, June 2023. [doi]

@article{RodpyshMB23,
  title = {Employing singular value decomposition and similarity criteria for alleviating cold start and sparse data in context-aware recommender systems},
  author = {Keyvan Vahidy Rodpysh and Seyed Javad Mirabedini and Touraj Banirostam},
  year = {2023},
  month = {June},
  doi = {10.1007/s10660-021-09488-7},
  url = {https://doi.org/10.1007/s10660-021-09488-7},
  researchr = {https://researchr.org/publication/RodpyshMB23},
  cites = {0},
  citedby = {0},
  journal = {Electronic Commerce Research},
  volume = {23},
  number = {2},
  pages = {681-707},
}