Publication Authors: G. Polimeno

Y. Maruccia, G. Polimeno, G. Solazzo, G. Lorenzo, F. Vitulano, L. Zambetti

Purpose – This paper aims at describing the role of a developed Recommender System in a Virtual Collective Intelligence Environment. The analysis of different types of data, such as social network data or users’ behaviours, are very useful to delineate people customs and interests. Such information are necessary for the Recommender System, which is based […]

IN: Proceedings IFKAD 2015 – Culture, Innovation and Entrepreneurship: Connecting the Knowledge Dots
1465-1476