Augmenting recommendation algorithms based on similarity between electronic content

Patent metadata

Field	Value
Publication number	US-9129296-B2
Application number	US-201213650249-A
Country	US
Kind code	B2
Filing date	Oct 12, 2012
Priority date	Oct 12, 2012
Publication date	Sep 8, 2015
Grant date	Sep 8, 2015

Abstract

Systems and methods for augmenting recommendation algorithms based on similarity between electronic content items are provided. In one embodiment, a content management application executed by a processor identifies at least one first electronic content item associated with a first client. The content management application determines that the first electronic content item is similar to at least one second electronic content item associated with a second client. The content management application generates an association between the first electronic content item and the second electronic content item. The association is based on the first electronic content item and the second electronic content item being similar to each another. The content management application generates a recommendation output based at least partially on the association between the first electronic content item and the second electronic content item.

First claim

What is claimed is:

1. A method comprising:
identifying, by a processing device, at least one first electronic content item represented by a first content node in a social graph that is linked to a first client node in the social graph representing a first client account;
determining, by the processing device, that the least one first electronic content item is similar to at least one second electronic content item represented by a second content node in the social graph that is…

Assignees

• Adobe Systems Inc

Inventors

• Goldman Oliver Isaac

Classifications

• G06Q10/40

  Physics · mapped topic

• G06N5/01

  Physics · mapped topic

• G06N5/02

  Physics · mapped topic

• G06N5/04

  Physics · mapped topic

• G06N99/005

  Physics · mapped topic