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Ranking Search Results Using Hierarchically Organized Machine Learning Based Models - US-2018101537-A1

More about the patent "Ranking Search Results Using Hierarchically Organized Machine Learning Based Models "
ID: US-2018101537-A1

Danger Rate by editors: 97
Flagged by participants: 1


Assignee: Salesforce.Com, Inc.

Inventors: Jayesh Govindarajan, Nicholas Beng Tek Geh, Ammar Haris, Zachary Alexander, Scott Thurston Rickard, Jr., Clifford Z. Huang

Class: G06N99/005

Tags: Learning Machines; Personalized User Data.

Filing: 2017-10-11

Priority: 2016-10-12

Publication: 2018-04-12

Granted: 0000-00-00


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Ranking Search Results Using Hierarchically Organized Machine Learning Based Models - US-2018101537-A1

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SOCIALITY AIMS TO EXPLOIT INTELLECTUAL PROPERTY LAWS FOR MONITORING AND REGULATING HAZARDOUS INFORMATION TECHNOLOGY. AS AN ARTISTIC PROVOCATION, IT PROPOSES THE DEMOCRATIC BANNING OF SOCIALLY HARMFUL INVENTIONS THAT EMPLOY DEVIOUS PSYCHOLOGICAL AND PROFILING TACTICS THROUGH ARTIFICIAL INTELLIGENCE, ALGORITHMS, DATA MINING, SOCIAL MEDIA, USER INTERFACES AND TRACKING, IN FAVOR OF A MORE ETHICAL USE OF TECHNOLOGY.
This is a socially engaged Internet artwork by Paolo Cirio.