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

Claim 18:
19. A computing device comprising:
a memory comprising instructions; and
a processor coupled to the memory, the processor configured to execute the instructions to cause the processor to:
combine 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;
extract 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 random documents to prevent overfitting during training;
join 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;
train a document scoring model utilizing machine learning, wherein the trained document scoring model scores documents using the set of joined features;
score documents with document scores using the document scoring model based upon the content features and the set of joined features with document scores obtained during training;
select a subset of the plurality of documents whose document score exceeds a threshold; and
perform an operation on the plurality of document based on the selected subset of the plurality of documents.