@article{416,
  author = {Wei Chen, Simon Fong},
  title = {Collaborative Filtering (CF) Technique for Recommender Systems on Social Networks},
  journal = {International Journal of Web Applications},
  year = {2011},
  volume = {3},
  number = {1},
  doi = {},
  url = {http://www.dline.info/ijwa/fulltext/v3n1/3.pdf},
  abstract = {Currently, the recommender systems are found to be beneficial in many applications with an increase of combination of other technologies. One such technology is the soical networks where Collaborative Filtering (CF) is effective in providing collaborative social environment. The major issue is building the reliabel statistics for estimating trust among actors involved in the social networks. In this work, we propose a design for creating an effective collaborative filtering on social network and a new approach for estimating trust factors. This approch emerges by using the data extracted from The Facebook Project I. The statistics trust data have the potential as better input parameters in Collaborative Filtering algorithm. We have also used the extracted data as the case study to document the proposed system and parameters.},
}