Adobe Inc.
Content interest from interaction information

Last updated:

Abstract:

Techniques and systems are described for content interest from interaction information. Keywords are extracted from digital content, and relevance values are determined based on the keywords that captures both the statistical and semantic significance of topics in the digital content through use of a network representation. Interest values for an entity are determined based on the relevance values and an interaction dataset, which capture both the statistical and semantic significance of the topics with respect to the entity. The interest values may be utilized to control output of digital content to a client device.

Status:
Grant
Type:

Utility

Filling date:

26 Mar 2020

Issue date:

28 Jun 2022