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"description": "Robot advisory is a hot topic in Banking and Finance nowadays. The\nquality of any Robot relies on its ability to anticipate the choices of\ncustomers and engage them toward an action. For this reason\nrecommendation systems are gaining ground in banking sector as an\nalternative or supplementary approach to classical Portfolio Selection\nmodels. In this talk I show how to build recommendation systems in\nPython using two different ideas, one inspired by graph theory, and the\nother by item embedding.\n",