In recent years there has been an exponential increase in the number of users each day adopting e-commerce as a purchasing vehicle of products and services. This has led to a growing interest from the scientic community in approaches and models that would improve the customer experience. Specically, it has been repeatedly pointed out that the denition of a customer experience tailored to the user personality traits would likely increase the probability of purchase. In this article we illustrate a recommender system for e-commerce capable of adapting the product and service oer according to not only the user interests and preferences, and his context of use, but also his personality prole derived from information relating to his professional activities.
C., B., A. C., D.R., A., D.V., M., G., Sansonetti, G., V., V. (2013). Personality-Based Recommendation in E-Commerce. In UMAP 2013 Extended Proceedings (pp.1-6).