18007546. Contextual Querying of Content Rendering Activity simplified abstract (Google LLC)

Contextual Querying of Content Rendering Activity

Organization Name

Google LLC

Inventor(s)

Ramprasad Sedouram of Bangalore (IN)

Patlavath Bharathi Dharma Teja Naik of Bangalore (IN)

Contextual Querying of Content Rendering Activity - A simplified explanation of the abstract

This abstract first appeared for US patent application 18007546 titled 'Contextual Querying of Content Rendering Activity

The present disclosure describes a method for processing queries over content rendering activity, involving receiving input signals from different modalities and generating content queries to retrieve relevant content items.

• The method involves receiving input signals from sensors of a client device to capture local context signals associated with a content rendering event.
• It includes receiving input signals of a different modality to provide additional information for generating content queries.
• The method then generates a content query based on the input signals to retrieve a content item associated with the content rendering event.

Potential Applications:

• This technology can be applied in content recommendation systems to enhance user experience by providing relevant content based on context signals.
• It can be used in interactive advertising to deliver targeted content to users based on their preferences and behavior.

Problems Solved:

• This method addresses the challenge of processing queries over content rendering activity efficiently by incorporating signals from multiple modalities.
• It helps improve the accuracy of content recommendations by considering both local context signals and additional input signals.

Benefits:

• Enhanced user experience through personalized content recommendations.
• Improved targeting in advertising campaigns leading to higher engagement and conversion rates.

Commercial Applications:

• This technology can be utilized by content streaming platforms, e-commerce websites, and digital advertising agencies to optimize content delivery and increase user engagement.

Questions about the Technology: 1. How does this method improve the accuracy of content recommendations?

  - By combining signals from different modalities, the method can provide more relevant and personalized content suggestions to users.

2. What are the key advantages of using local context signals in content retrieval?

  - Local context signals help capture the user's immediate environment and behavior, leading to more precise content recommendations.

Original Abstract Submitted

In an example aspect, the present disclosure provides for an example method for processing queries over content rendering activity. The example method includes receiving, by a computing system comprising one or more processors, a first input signal of a first modality, the first input signal being obtained using one or more sensors of a client device and providing local context signals associated with a content rendering event on an output device. The example method includes receiving, by the computing system, a second input signal of a second modality different from the first modality. The example method includes generating, by the computing system and based on the first input signal and the second input signal, a content query. The example method includes retrieving, by the computing system and based on the content query, a content item associated with the content rendering event.