Social network data to alleviate cold-start in recommender system: A systematic review

@article{Camacho2018SocialND,
  title={Social network data to alleviate cold-start in recommender system: A systematic review},
  author={Lesly Alejandra Gonzalez Camacho and Solange N. Alves Souza},
  journal={Inf. Process. Manage.},
  year={2018},
  volume={54},
  pages={529-544}
}
Abstract Recommender Systems are currently highly relevant for helping users deal with the information overload they suffer from the large volume of data on the web, and automatically suggest the most appropriate items that meet users needs. However, in cases in which a user is new to Recommender System, the system cannot recommend items that are relevant to her/him because of lack of previous information about the user and/or the user-item rating history that helps to determine the users… CONTINUE READING