18402272. Systems and Methods for Automatically Creating Content Modification Scheme simplified abstract (GOOGLE LLC)

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Systems and Methods for Automatically Creating Content Modification Scheme

Organization Name

GOOGLE LLC

Inventor(s)

Guannan Zhang of Shanghai (CN)

Yiling Zhang of Shanghai (CN)

Systems and Methods for Automatically Creating Content Modification Scheme - A simplified explanation of the abstract

This abstract first appeared for US patent application 18402272 titled 'Systems and Methods for Automatically Creating Content Modification Scheme

Simplified Explanation

The patent application describes systems and methods for automatically associating content characteristics to third-party content. This involves receiving a uniform resource locator (URL) from a content provider, rendering the content to produce an object tree, determining a first node representing a content slot, identifying a second node proximate to the first node with a content characteristic, extracting the content characteristic, associating it with the first node, and storing it.

  • Uniform resource locator (URL) received from content provider
  • Content rendered to produce object tree
  • First node representing content slot determined
  • Second node with content characteristic identified
  • Content characteristic extracted and associated with first node
  • Extracted content characteristic stored

Potential Applications

The technology described in this patent application could be applied in various fields such as digital marketing, content management systems, and online advertising platforms.

Problems Solved

This technology solves the problem of efficiently associating content characteristics with third-party content, which can improve targeted advertising, content personalization, and user experience.

Benefits

The benefits of this technology include enhanced content relevance, improved user engagement, increased advertising effectiveness, and streamlined content management processes.

Potential Commercial Applications

One potential commercial application of this technology could be in the development of advanced content management systems for digital marketing agencies.

Possible Prior Art

One possible prior art for this technology could be the use of machine learning algorithms to analyze and categorize content characteristics in digital advertising platforms.

What are the specific machine learning algorithms used in this technology?

The specific machine learning algorithms used in this technology are not mentioned in the abstract.

How does this technology handle privacy concerns related to user data in content association?

The abstract does not provide information on how this technology addresses privacy concerns related to user data in content association.


Original Abstract Submitted

Systems and methods for automatically associating content characteristics to a third-party content are provided. A uniform resource locator identifying a resource is received from a content provider. The content is rendered to produce an object tree. A first node of the object tree is determined, where the first node represents a content slot. A second node of the object tree proximate to the first node is identified. The second node has a content characteristic, which is extracted. The extracted content characteristic is associated with the first node and stored.