EMPLOYING REPORT RATIOS FOR INTELLIGENT MOBILE MESSAGING CLASSIFICATION AND ANTI-SPAM DEFENSE

Patent №

US 8,924,488

Granted

2014-12-30

Filed 2010

Owner

AT&T INTELLECTUAL PROPERTY I, L.P.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12880945

Systems, methods, and devices that classify mobile messages and associated mobile message senders are presented. A communication network can comprise a message abuse detector component (MADC) that evaluates a mobile message, for example, labeled as abusive in an abuse report. The MADC can evaluate information relating to the abuse report, wherein the evaluations can include an abuse-report-hash-ratio, an abuse-report-sender-ratio, correlation of mobile message content to known spam content or non-spam content, and/or evaluation of reputation of the mobile message sender or abuse report sender, etc. Based at least in part on the evaluation, the MADC can classify mobile message as spam, subscription related, or as another type of mobile message, and can identify, select, and execute (e.g., automatically) a desired abuse management action(s) based at least in part on the evaluation and predefined message abuse criteria.

Knowledge representationPlanningAI hardwareG06Q 10/107G06Q 10/10H04L 51/212H04L 51/58

AI classification

Planning0.98
Knowledge representation0.96
AI hardware0.57
Machine learning0.05
Natural language0.01
Evolutionary computation0.00
Vision0.00
Speech0.00

Ownership

AT&T INTELLECTUAL PROPERTY I, L.P.

assignment · 249910813

Assignors

BOBOTEK, ALEXANDER

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC