@inproceedings{07cf0d0dbf2d46f08fb5b4f26e19f420,
title = "Trust-based recommendations through triadic closure",
abstract = "Information filtering and recommender systems exploit various techniques to deal with the information overload problem. One popular technique for making recommendations is based on trust statements between users in a social network. Yet explicit trust statements are usually very sparse leading to the need for expanding the trust networks by inferring new trust relationships. This study proposes a novel model to infer new trusted neighbors and combines it with existing methods to achieve a fully expanded trust network. Experimental results demonstrate that the proposed method outperforms the existing methods.",
keywords = "homophily, recommender systems, triadic closure, trust inference, trust-based recommender systems",
author = "Panagiota Tselenti and Konstantinos Danas",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Information, Intelligence, Systems and Applications, IISA 2016 ; Conference date: 13-07-2016 Through 15-07-2016",
year = "2016",
month = dec,
day = "14",
doi = "10.1109/IISA.2016.7785418",
language = "English",
series = "IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IISA 2016 - 7th International Conference on Information, Intelligence, Systems and Applications",
}