Patent ID: 11921731
Assignee: SEEKR TECHNOLOGIES INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
combining, by a document scoring computer system having a processor and memory, feature types within one or more levels of feature sets from a plurality of documents from a plurality of sources into a joined host level feature set;
extracting, by the document scoring computer system, from a plurality of particular documents one or more numerical features corresponding to a numerical statistic about the particular document and one or more content features corresponding to a textual feature of the particular document, wherein the plurality of particular documents include one or more ground truth documents with labeled features and one or more random documents to prevent overfitting during training;
joining, by the document scoring computer system, the extracted one or more numerical features with the one or more levels of feature sets to create a set of joined features for the one or more ground truth documents and the one or more random documents;
training, by the document scoring computer system, a document scoring model utilizing machine learning, wherein the trained document scoring model scores documents using the set of joined features;
scoring, using the trained machine learning document scoring model, documents with document scores based upon the content features and the set of joined features with document scores obtained during training;
selecting, by the document scoring computer system, a subset of the plurality of documents whose document score exceeds a threshold; and
performing, by the document scoring computer system, an operation on the plurality of document based on the selected subset of the plurality of documents.