Patent ID: 7251640

Claim:
In an electronic communication system, a method for measuring attractiveness of incoming and outgoing messages, the method comprising the steps of: extracting from each of the incoming and outgoing messages, a flow of digital signals pertaining to transmission or reception context features, to content of the message, and to other interlocutors in relation with a particular interlocutor; measuring, by machine capture and computation, relative and interrelated frequencies of occurrences of the same digital signals extracted from previous messages; measuring, by machine capture and computation, a frequency of feedback response, for each data content, interlocutor, and context feature; measuring, by machine capture and computation, a frequency of feedback response for presence of a combination of content and interlocutor and context feature; calculating, from the frequencies of feedback response, interrelated and relative probability of triggering an interaction between two interlocutors based on identification of presence of the combination of content, interlocutor, and context feature; and from results of the extracting and measuring steps, auto-generating a Bayesian network without an initial model, the Bayesian network to be used to obtain a probabilistic prediction on an attractiveness of the incoming and outgoing messages, and to find most probably interested interlocutors for each outgoing message, each node of the Bayesian network being associated with a respective digital signal that represents one of a data content, interlocutor, and context feature.