New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests

Julio Herce-Zelaya, Carlos Porcel, Juan Bernabé-Moreno, Álvaro Tejeda-Lorente, Enrique Herrera-Viedma. New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests. Inf. Sci., 536:156-170, 2020. [doi]

@article{Herce-ZelayaPBT20,
  title = {New technique to alleviate the cold start problem in recommender systems using information from social media and random decision forests},
  author = {Julio Herce-Zelaya and Carlos Porcel and Juan Bernabé-Moreno and Álvaro Tejeda-Lorente and Enrique Herrera-Viedma},
  year = {2020},
  doi = {10.1016/j.ins.2020.05.071},
  url = {https://doi.org/10.1016/j.ins.2020.05.071},
  researchr = {https://researchr.org/publication/Herce-ZelayaPBT20},
  cites = {0},
  citedby = {0},
  journal = {Inf. Sci.},
  volume = {536},
  pages = {156-170},
}