The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 17, 2020

Filed:

Dec. 01, 2016
Applicant:

Yahoo!, Inc., Sunnyvale, CA (US);

Inventors:

David Pal, New York, NY (US);

Satyen Chandrakant Kale, New York, NY (US);

Yongxin Xi, San Jose, CA (US);

Ilambharathi Kanniah, Sunnyvale, CA (US);

Yuval Peduel, Sunnyvale, CA (US);

Zohar Shay Karnin, Hoboken, NJ (US);

Jyh-Shin Shue, Cupertino, CA (US);

Assignee:

Oath Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/58 (2006.01);
U.S. Cl.
CPC ...
H04L 51/12 (2013.01); H04L 51/22 (2013.01);
Abstract

One or more computing devices, systems, and/or methods for message classification are provided. For example, a set of messages is clustered into a set of clusters. A cluster comprises messages with similar features (e.g., similar subject lines, message body content, sender information, recipient information, structure, user action such as reading or deleting, spam vote information, etc.). Cluster features are computed for the clusters based upon features of messages within such clusters. A first table, comprising cluster entries corresponding cluster features of clusters, and a second table, comprising message entries corresponding to clusters to which messages are assigned, are created. Message features of a message are created, using the first table and second table, based upon features of the message and cluster features of clusters to which the message is assigned. A message classifier is used to classify the message (e.g., spam, safe, a threat, etc.) based upon the message features.


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