@inproceedings{citeulike:5971354,
    abstract = {Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between users on a social network to address the limitations of similarity measure in Collaborative Filtering algorithms. For enhancing the constructed network of users based on trust, we introduce an estimate of a user\&\#8217;s trustworthiness called T-index to identify and select neighbors in an effective manner. We employ T-index to store raters of an item in a so-called TopTrustee list which provides information about users who might not be accessible within a predefined maximum path length. An empirical evaluation shows that our solution improves both prediction accuracy and coverage of recommendations collected along few edges that connect users on a social network by exploiting T-index. We also analyze effect of T-index on structure of trust network to justify the results.},
    address = {Washington, DC, USA},
    author = {Zarghami, Alireza and Fazeli, Soude and Dokoohaki, Nima and Matskin, Mihhail},
    booktitle = {WI-IAT '09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology},
    citeulike-article-id = {5971354},
    citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1632250},
    citeulike-linkout-1 = {http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2009.237},
    citeulike-linkout-2 = {http://dx.doi.org/10.1109/WI-IAT.2009.237},
    doi = {10.1109/WI-IAT.2009.237},
    isbn = {978-0-7695-3801-3},
    journal = {Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on},
    keywords = {collaborative\_filtering, network, recommendation, social, socialnetwork, t-index, trust, trustnetwork},
    pages = {85--90},
    posted-at = {2009-10-19 15:06:59},
    priority = {0},
    publisher = {IEEE Computer Society},
    title = {Social Trust-Aware Recommendation System: A T-Index Approach},
    url = {http://dx.doi.org/10.1109/WI-IAT.2009.237},
    volume = {3},
    year = {2009}
}