Abstract: A computer-implemented method and system to manage user profiles regarding user preferences towards a content. In the computer-implemented method of the invention said content is previously rated by a group of users via computing devices, and it is characterised in that it comprises generating adaptive catalogues for a user by means of Item Response Theory models applied to said content and generating a user profile for said user by at least presenting items of said adaptive catalogues to said user, through a user computing device, and analysing scores given by said user to said items via said user computing device. The system of the invention is arranged to implement the method of the invention.

Abstract: It comprises computing values of cognitive and personality indicators of users of a telecom operator by means of machine learning and data mining algorithms from information available in a telecom operator system extracted from Social Network Analysis metrics, Call Detailed Record information and commercial information of said users stored in an operator's Data Warehouse and Customer Relationship Management systems as well as information from previous surveys, or questionnaires, answered by a representative sample of users as an input of said machine learning and said data mining algorithms. The method involves building a complex computer model that infers the values of the psychological dimensions of said users by means of said machine learning and said data mining algorithms to obtain a multi-dimensional vector for each of the users.