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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.
The exponential growth of social networks makes fingerprint let by users on the Internet a great source of information, with data about their preferences, needs, goals, profile and social environment. These data are distributed across different sources of information (social networks, blogs, databases, etc.) that may contain inconsistencies and their… (More)