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.V34I10.7218Markdown
[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.V34I10.7218BibTeX
@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/}
}