Autonomous content orchestration
Abstract:
A system could include persistent storage units. Each persistent storage unit could contain: (i) records including descriptions related to technology-related problems, and (ii) term frequency (TF) metrics for tokens within the descriptions. The system could include processors configured to perform operations. The operations may include receiving input text and determining that the input text is subject to a querying procedure. The operations could also include, in response to the determining, identifying a classification for the input text and based on the classification, selecting at least one of the persistent storage units. The operations could further include tokenizing the input text to form input tokens and calculating, for the input tokens, input TF metrics. The operations could additionally include determining similarity metrics between: (i) the input TF metrics, and (ii) TF metrics for records within the at least one persistent storage unit and, based on the similarity metrics, retrieving relevant records.
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