Apple inc. (20240281490). Ranking of Content Based On Implied Relationships simplified abstract

Ranking of Content Based On Implied Relationships

Organization Name

apple inc.

Inventor(s)

Xiaoyuan Goodman Gu of San Jose CA (US)

Yuan Yen Tai of Pleasanton CA (US)

Moliang Zhou of Santa Clara CA (US)

Dayvid Victor Rodrigues De Oliveira of Round Rock TX (US)

Brian Knott of New York City NY (US)

Jin Cao of Ardsley NY (US)

Jia Huang of Mountain View CA (US)

Ranking of Content Based On Implied Relationships - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240281490 titled 'Ranking of Content Based On Implied Relationships

The present technology can establish implicit influence relationships between content items that do not have direct relationships.

• User download sequence data, campaign data with keyword targeting, and content review data can be used to establish influence relationships.
• Relevance of content items can be determined based on influence relationships and similarity relationships.
• A context-driven factor is used to adjust the impact of influence relationships in ranking content items.
• The importance of influence relationships in ranking can vary based on the parameters of relevance considered.

Potential Applications: - Content recommendation systems - Targeted advertising - Personalized user experiences

Problems Solved: - Enhancing content relevance - Improving user engagement - Optimizing content delivery

Benefits: - Increased user satisfaction - Higher click-through rates - Enhanced content discoverability

Commercial Applications: Title: Context-Driven Content Ranking Technology for Enhanced User Engagement This technology can be applied in various industries such as e-commerce, digital marketing, and online media platforms to improve user engagement and drive conversions.

Questions about Context-Driven Content Ranking Technology: 1. How does this technology impact user experience on digital platforms? This technology enhances user experience by providing more relevant content recommendations based on implicit influence relationships.

2. What are the key factors that determine the weight of influence relationships in content ranking? The weight of influence relationships is determined by a context-driven factor that adjusts the impact based on the parameters of relevance considered.

Original Abstract Submitted

the present technology has the ability to establish connections between content that do not have direct or explicit relationships. implicit influence relationships can be established from user download sequence data, campaign data with keyword targeting, and content review data that mentions other content. using these influence relationships, the relevance of content items can be determined based on the influence relationship of linked content items and a similarity relationship of content items. however, the importance of the influence relationship in ranking content items can vary depending on the parameters against which the content item is considered relevant. to address this, the present technology includes a context-driven factor that is used as a weight to adjust the impact of the influence relationship of the ranking, depending on the parameters against which the content item is considered relevant.