Importance

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Abstract

In an electronic communication system, relevance levels of an incoming or outgoing message for presenting it to an interlocutor is measured without having to actually interact with the interlocutor, by a 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 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 the 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 signal.

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First Claim