Machine learning for similarity scores between different document schemas

A system comprising:

• one or more processors;
• and
• one or more memory devices comprising instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• providing a plurality of documents having similarity scores that are calculated in response to receiving a first document wherein the similarity scores indicate similarities between the first document and the plurality of documents;
• receiving feedback from a user for a second document in the plurality of documents, wherein the feedback indicates whether the second document is relevant to the first document;
• and
• adjusting parameters of a configuration in response to the feedback, wherein the configuration defines how to generate, from the first document, a plurality of queries used to generate the similarity scores for the plurality of documents.

A method of using feedback to improve similarity scores for documents, the method comprising:

• providing a plurality of documents having similarity scores that are calculated in response to receiving a first document wherein the similarity scores indicate similarities between the first document and the plurality of documents;
• receiving feedback from a user for a second document in the plurality of documents, wherein the feedback indicates whether the second document is relevant to the first document;
• and
• adjusting parameters of a configuration in response to the feedback, wherein the configuration defines how to generate, from the first document, a plurality of queries used to generate the similarity scores for the plurality of documents.