Personalized Prediction of Trust Links in Social Networks (Student Abstract)

Abstract

In this paper we show how integrating both domain specific and generic trust indicators into a prediction of trust links between users in social networks can improve upon methods for recommending content to users and how clustering of users to deliver personalized solutions offers even greater advantages.

Cite

Text

Parmentier and Cohen. "Personalized Prediction of Trust Links in Social Networks (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I10.7218

Markdown

[Parmentier and Cohen. "Personalized Prediction of Trust Links in Social Networks (Student Abstract)." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/parmentier2020aaai-personalized/) doi:10.1609/AAAI.V34I10.7218

BibTeX

@inproceedings{parmentier2020aaai-personalized,
  title     = {{Personalized Prediction of Trust Links in Social Networks (Student Abstract)}},
  author    = {Parmentier, Alexandre and Cohen, Robin},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13891-13892},
  doi       = {10.1609/AAAI.V34I10.7218},
  url       = {https://mlanthology.org/aaai/2020/parmentier2020aaai-personalized/}
}