Using graph-based models in a persuasive social recommendation system

Javier Palanca, Stella Heras, Javier Jorge, Vicente Julian
2015 Proceedings of the 30th Annual ACM Symposium on Applied Computing - SAC '15  
Nowadays, social networks have an enormous impact in the society generating a lot of useful information to be employed in new social applications. In this paper, we show how we have used a graph-based model to extract and model data in order to develop a Social Recommendation System which recommends recipes in a social network.
doi:10.1145/2695664.2695732 dblp:conf/sac/CamaraHJJ15 fatcat:zy5iwvizjnh23hrme7kceud2ta