DOCUMENT QUALITY MEASUREMENT
First Claim
1. A method for evaluating document quality, the method comprising:
- for a first plurality of documents, performing for each document of the first plurality of documents;
identifying quality attributes associated with the document of the first plurality of documents;
associating a classifier with the document of the first plurality of documents in accordance with relevance of content of the document of the first plurality of documents to the classifier;
receiving a ranking of the document of the first plurality of documents; and
training a class-specific model corresponding to the associated classifier according to one or both of the quality attributes associated with the document of the first plurality of documents and the content of the document of the first plurality of documents; and
for a second plurality of documents, performing for each document in the second plurality of documents;
identifying quality attributes associated with the document of the second plurality of documents;
associating a classifier with the document of the second plurality of documents in accordance with relevance of content of the document of the second plurality of documents to the classifier;
ranking the document of the second plurality of documents according to a class-specific model corresponding to the associated classifier using as inputs one or both of the quality attributes and the content of the document of the second plurality of documents.
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Accused Products
Abstract
Systems and methods are disclosed herein for ranking the quality of documents, such as documents shared or referenced in postings by users. For a first set of documents quality attributes that are indicative of quality or lack of quality are identified. Ratings of the quality of the first set of documents are received. Classifiers are associated with each document and the ratings and quality attributes for each attribute used to train class-specific models corresponding to the classifiers. Subsequently received documents are then classified and corresponding quality attributes are evaluated using the corresponding class-specific model in order to rank the quality of the document.
29 Citations
20 Claims
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1. A method for evaluating document quality, the method comprising:
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for a first plurality of documents, performing for each document of the first plurality of documents; identifying quality attributes associated with the document of the first plurality of documents; associating a classifier with the document of the first plurality of documents in accordance with relevance of content of the document of the first plurality of documents to the classifier; receiving a ranking of the document of the first plurality of documents; and training a class-specific model corresponding to the associated classifier according to one or both of the quality attributes associated with the document of the first plurality of documents and the content of the document of the first plurality of documents; and for a second plurality of documents, performing for each document in the second plurality of documents; identifying quality attributes associated with the document of the second plurality of documents; associating a classifier with the document of the second plurality of documents in accordance with relevance of content of the document of the second plurality of documents to the classifier; ranking the document of the second plurality of documents according to a class-specific model corresponding to the associated classifier using as inputs one or both of the quality attributes and the content of the document of the second plurality of documents. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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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:
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for a first plurality of documents, perform for each document of the first plurality of documents; identifying quality attributes associated with the document of the first plurality of documents; associating a classifier with the document of the first plurality of documents in accordance with relevance of content of the document of the first plurality of documents to the classifier; receiving a ranking of the document of the first plurality of documents; and training a class-specific model corresponding to the associated classifier according to one or both of the quality attributes associated with the document of the first plurality of documents and the content of the document of the first plurality of documents; and for a second plurality of documents, perform for each document in the second plurality of documents; identifying quality attributes associated with the document of the second plurality of documents; associating a classifier with the document of the second plurality of documents in accordance with relevance of content of the document of the second plurality of documents to the classifier; ranking the document of the second plurality of documents according to a class-specific model corresponding to the associated classifier using as inputs one or both of the quality attributes and the content of the document of the second plurality of documents. - View Dependent Claims (17, 18, 19, 20)
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Specification