Alleviating cold-user start problem with users ’ social network data in recommendation systems

@inproceedings{Castillejo2012AlleviatingCS,
  title={Alleviating cold-user start problem with users ’ social network data in recommendation systems},
  author={Eduardo Castillejo and Aitor Almeida and Diego L{\'o}pez-de-Ipi{\~n}a},
  year={2012}
}
The Internet and the Web 2.0 have radically changed the way of purchasing items, provoking the fall of geographic selling barriers all over the world. So large is the amount of data and items we can find in the Web that it turned out to be almost unmanageable. Due to this situation many algorithms have emerged trying to filter items for e-commerce users based in their tastes. In order to do this, these systems need information about the tastes of the users as input. This limitation is reduced… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 15 references

The mathematics of networks

  • M.E.J. Newman
  • The New Palgrave Encyclopedia of Economics, 2,
  • 2008
Highly Influential
6 Excerpts

B

  • J. Davidson, B. Liebald, +6 authors M. Lambert
  • Livingston, et al., ‘The youtube video…
  • 2010
1 Excerpt

Amazon

  • G. Linden, B. Smith, J. York
  • com recommendations: Item-to-item collaborative…
  • 2003
2 Excerpts

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