16. A system for rule generation, the system comprising one or more processors and one or more memory devices operably coupled to the one or more processors, the one or more memory devices storing executable and operational data effective to cause the one or more processors to: for a first plurality of documents, perform for each document of the first plurality of documents: identifying quality attributes associated with the each document of the first plurality of documents, the quality attributes including characterizations of usage of the each document, relevance of text in the each document to one or more topics, and quantity of text and media; associating a classifier from a plurality of classifiers with the each document of the first plurality of documents in accordance with relevance of content of the each document of the first plurality of documents to the classifier, by selecting the classifier from a taxonomy of concepts as being representative of the each document by evaluating meanings of textual representations within the each document; and receiving a ranking of the each document of the first plurality of documents; training a plurality of class-specific models each corresponding to a classifier of the plurality of classifiers by, for each classifier of the plurality of classifiers, training each class-specific model of the plurality of class-specific models corresponding to the each classifier according to both of the quality attributes associated with the each document of the first plurality of documents associated with the each classifier and the content of the each documents of the first plurality of documents associated with the each classifier; and for a second plurality of documents, perform for each document in the second plurality of documents: identifying quality attributes associated with the each document of the second plurality of documents; associating a classifier with the each document of the second plurality of documents in accordance with relevance of content of the each document of the second plurality of documents to the classifier; inputting the each document of the second plurality of documents to a selected class-specific model of the plurality of class-specific models corresponding to the classifier associated with the each document; ranking the each document of the second plurality of documents according to the selected class-specific model using as inputs one or both of the quality attributes and the content of the each document of the second plurality of documents.
16. A system for rule generation, the system comprising one or more processors and one or more memory devices operably coupled to the one or more processors, the one or more memory devices storing executable and operational data effective to cause the one or more processors to: for a first plurality of documents, perform for each document of the first plurality of documents: identifying quality attributes associated with the each document of the first plurality of documents, the quality attributes including characterizations of usage of the each document, relevance of text in the each document to one or more topics, and quantity of text and media; associating a classifier from a plurality of classifiers with the each document of the first plurality of documents in accordance with relevance of content of the each document of the first plurality of documents to the classifier, by selecting the classifier from a taxonomy of concepts as being representative of the each document by evaluating meanings of textual representations within the each document; and receiving a ranking of the each document of the first plurality of documents; training a plurality of class-specific models each corresponding to a classifier of the plurality of classifiers by, for each classifier of the plurality of classifiers, training each class-specific model of the plurality of class-specific models corresponding to the each classifier according to both of the quality attributes associated with the each document of the first plurality of documents associated with the each classifier and the content of the each documents of the first plurality of documents associated with the each classifier; and for a second plurality of documents, perform for each document in the second plurality of documents: identifying quality attributes associated with the each document of the second plurality of documents; associating a classifier with the each document of the second plurality of documents in accordance with relevance of content of the each document of the second plurality of documents to the classifier; inputting the each document of the second plurality of documents to a selected class-specific model of the plurality of class-specific models corresponding to the classifier associated with the each document; ranking the each document of the second plurality of documents according to the selected class-specific model using as inputs one or both of the quality attributes and the content of the each document of the second plurality of documents. 17. The system of claim 16 , wherein the executable and operational data are further effective to cause the one or more processors to filter the second plurality of documents in accordance with rankings of the each document of the second plurality of documents.