SYSTEM AND METHOD FOR DETECTING UNWANTED CONTENT

Patent №

US 9,258,261

Granted

2016-02-09

Filed 2014

Owner

Lab

AI components

2

kr · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

14543612

A system and method for detecting unwanted electronic content, such as spam. As a user operates an application to send messages, several metrics are tracked to allow the system to analyze her activity. Illustrative metrics may include, but are not limited to, block count (e.g., how many other users have blocked her), block rate (e.g., the rate at which other users block her), peer symmetry (e.g., percentage of her messages that are to other users that have her in their address book), message uniqueness (e.g., how unique her messages are from each other), peer uniqueness (e.g., how unique the addressees of her messages are), and message rate (e.g., the rate at which she sends messages). Periodically, metrics may be compared to corresponding thresholds. Depending on whether a threshold is crossed, and which threshold is crossed, she may be banned from using the application or placed on a watch list.

Knowledge representationAI hardwareH04L 51/212G06Q 10/107H04L 43/10H04L 43/16H04L 67/02H04L 67/535

AI classification

Knowledge representation0.99
AI hardware0.94
Machine learning0.19
Vision0.04
Planning0.01
Natural language0.00
Evolutionary computation0.00
Speech0.00
© 2026 NYSGPT2525 LLC