An empirical comparison of social, collaborative filtering, and hybrid recommenders

@article{Bellogn2013AnEC,
  title={An empirical comparison of social, collaborative filtering, and hybrid recommenders},
  author={Alejandro Bellog{\'i}n and Iv{\'a}n Cantador and Fernando D{\'i}ez and P. Castells and Enrique Chavarriaga},
  journal={ACM Trans. Intell. Syst. Technol.},
  year={2013},
  volume={4},
  pages={14:1-14:29}
}
In the Social Web, a number of diverse recommendation approaches have been proposed to exploit the user generated contents available in the Web, such as rating, tagging, and social networking information. In general, these approaches naturally require the availability of a wide amount of these user preferences. This may represent an important limitation for real applications, and may be somewhat unnoticed in studies focusing on overall precision, in which a failure to produce recommendations… Expand
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