Purchases method and system

An automated system for providing personalised recommendations to a user, the system comprising:

• a central unit comprising a global probabilistic purchase model based on data relating to a group of users of a system, the model providing recommendations for the future purchases as a function of the group purchase transactions;
• a module to detect attributes of the user so as to identify characteristics relating to the user's personal purchasing;
• and
• means to calculate at least one correction factor, based on the user's attributes, to update the output of the global probabilistic purchase model to personalise the recommendations for future purchases for the user.