Determining contextual relevance in multi-auditory scenarios
AssigneeInternational Business Machines Corporation
InventorsCraig M. Trim, Victor Povar, Sarbajit K. Rakshit, Tory Mitchell Liesenfelt
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AssigneeInternational Business Machines Corporation
InventorsCraig M. Trim, Victor Povar, Sarbajit K. Rakshit, Tory Mitchell Liesenfelt
Estimating the term…
A computer-implemented method for determining contextual relevance in multi-auditory source scenarios is disclosed, the method including receiving, by a cognitive system, auditory communications regarding a current activity, analyzing, by the cognitive system, each auditory communication to determine an intended action. For each intended action, the cognitive system creates a simulation to identify a resulting outcome of each intended action. The method further includes ranking, by the cognitive system, the resulting outcome, the ranking based on a comparison of each simulated result and the corresponding intended action regarding the current activity, and physically implementing the highest rated resulting outcome(s) for the current activity. The analyzing, in one example, includes assigning a weight to each of the relevant auditory communications based on one or more criterion, and ranking the relevant auditory communications by weight.
A computer-implemented method comprising:
A system comprising:
The system of 7, wherein the analyzing comprises assigning a weight to the auditory communication based on one or more criterion, and wherein the one of more criterion comprises an authority of a source the auditory communication.
A computer program product for determining contextual relevance in multi-auditory source scenarios, the computer program product comprising:
Dependencies are inferred from the claim text.