Using machine learning to predict outcomes for documents
US10607152B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2016 |
| Grant date | Mar 31, 2020 |
| Priority date | — |
| Expiry date | Feb 13, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Evaluations of a document are generated that indicate likelihoods of the document achieving its objectives. The evaluations are based on predictive characteristics of one or more outcomes of the client document that are indicative of whether the document will achieve its objectives. Specifically, a server receives the document from a client device. The server extracts a set of features from the document. The evaluations of the document are generated based on the predictive characteristics for the one or more outcomes of the document. The generated evaluations are provided to the client device such that the document can be optimized to achieve its desired objectives. The optimized document may also be sent to a posting server for posting to a computer network. The known outcomes of the optimized document are collected through reader responses to the document and analyzed to improve evaluations for other documents.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.