Method and system for measuring interest levels of digital messages
First Claim
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.
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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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Citations
20 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system for measuring relevance levels of an incoming or outgoing message for automatically presenting said message to an interlocutor, the system comprising:
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means for 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; means for 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 and for auto-generating, from the probabilistic weights, a Bayesian network providing a probabilistic prediction on an attractiveness of sent/received signals or messages, or most probably interested other interlocutors for a given information or message, each node of the Bayesian network being associated with a respective signal; means for displaying the probabilistic prediction on the attractiveness or a list of most probably interested other interlocutors. - View Dependent Claims (12, 13, 14, 15)
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16. A computer program product for measuring relevance levels of an incoming or outgoing message for automatically presenting said message to an interlocutor, the program comprising:
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instructions for 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; instructions for weighting probabilistically the digital signals by means of indicators of relative and intenerated frequencies of occurrences of the same digital signals extracted from previous messages and for auto-generating, from the probabilistic weights, a Bayesian network providing a probabilistic prediction on an attractiveness of sent/received signals or messages, or most probably interested other interlocutors for a given information or message, each node of the Bayesian network being associated with a respective signal; and instructions for displaying the probabilistic prediction on the attractiveness or a list of most probably interested other interlocutors. - View Dependent Claims (17, 18, 19, 20)
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Specification