1. In an electronic communication system, a method for measuring relevance levels of an incoming or outgoing message for automatically presenting said message to an interlocutor, the method comprising the steps of: extracting from the message, a flow of digital signals pertaining to transmission/reception context features, to content of the message and/or to other interlocutors in relation with the interlocutor; weighting probabilistically the digital signals by means of indicators of relative and interrelated frequencies of occurrences of the same digital signals extracted from previous messages; from the results of the above steps, auto-generating a Bayesian network that allows the interlocutor to obtain a probabilistic prediction on an attractiveness of sent/received signals or messages, or find most probably interested interlocutors for a given information or message, each node of the Bayesian network being associated with a respective signal.