Recommender systems usually support B2C e-Commerce activities without to provide e-buyers with information about the reputation of both products and interlocutors. To provide B2C traders with suggestions taking into account gossips, in this paper we present REBECCA, a fully decentralized trust-based B2C recommender system that also guarantees scalability and privacy. Some experiments show the advantages introduced by REBECCA in generating more effective suggestions. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Rosaci, D., & Sarné, G. M. L. (2014). REBECCA: A trust-based filtering to improve recommendations for B2C e-commerce. In Studies in Computational Intelligence (Vol. 511, pp. 31–36). Springer Verlag. https://doi.org/10.1007/978-3-319-01571-2_5
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