COMPGA 99 Dissertation Defence against Profile Injection Attacks on Collaborative Filtering

@inproceedings{2008COMPGA9D,
  title={COMPGA 99 Dissertation Defence against Profile Injection Attacks on Collaborative Filtering},
  author={},
  year={2008}
}
  • Published 2008
| ii Abstract Collaborative filtering is a method to make personalised recommendations on information items, such as books and music, for a particular individual. It does this by looking at the items that like-minded people prefer. Collaborative filtering is used by many popular websites. For instance, the online retailer Amazon uses it to identify products that are likely to be of interest to its customers. The video-sharing website YouTube also uses collaborative filtering, to recommend… CONTINUE READING