Abstract
Machine learning algorithms may determine a document or file that a user intends to attach to an email. Words in the body of the email may indicate an intent to attach a document or file to the email. Based on determining that the user intends to attach a document or file to the email, candidate documents may be found in a remote storage, such as cloud storage, based on the recipient, subject or title, and/or body of the email. The candidate documents may then be ranked and a confidence level determined. Based on the raking and/or confidence level, one or more files or documents may be suggested to the user for attachment.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Meyer, Cayden; Kim, Harold; and Green, Alan, "Applying Machine Learning to Determine Documents Related to Email", Technical Disclosure Commons, (January 02, 2019)
https://www.tdcommons.org/dpubs_series/1849