Content Distribution System User Engagement Categorization
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Solution Overview
Problem
Current content distribution systems lack the ability to effectively target users based on their engagement levels with content, leading to inefficient advertising and content presentation.
Innovation Solution
A method that categorizes users into engagement categories based on their interaction data, allowing content providers to bid differently for presentation to users in various categories, and selects content items for presentation through auctions, ensuring that content is delivered to users who are most likely to engage with it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content distribution is performed without user engagement categorization, then the distribution process is simple, but the targeting precision and effectiveness of content delivery are poor
Solution Approach 1:
The patent segments users into different engagement categories (e.g., high engagement, medium engagement, low engagement) based on their interaction data with content. This segmentation enables precise targeting by allowing content providers to bid specifically for users in particular engagement categories, thereby improving targeting precision without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary categorization of users into engagement categories before content distribution occurs. By pre-processing user interaction data and establishing engagement categories in advance, the system prepares the groundwork for precise targeting, making the actual content delivery process more efficient and accurate.
2Productivity
If content is delivered to all users uniformly, then the distribution process is efficient, but the relevance and engagement rate of content presentation are low
Solution Approach 1:
The patent applies local quality by tailoring content delivery to specific user segments rather than applying a uniform approach. Content providers can set different bids for different engagement categories, and the system delivers content selectively to users whose engagement levels match the targeting criteria. This ensures that content reaches the most relevant users while maintaining efficient distribution through automated auction-based selection.
3Measurement precision
If user interaction data is collected and analyzed in real-time, then the engagement categorization is accurate, but the data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary categorization of users into engagement categories based on collected interaction data. By processing and categorizing user data in advance rather than in real-time during content delivery, the system achieves accurate engagement categorization while minimizing data processing time during the actual content distribution phase.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing content are disclosed. In one aspect, a set of interaction data specifying one or more types of user interactions with a resource is received for a user. A determination is made, based on the interaction data, that the user is in a first engagement category from at least two different engagement categories. A request for a content item to be provided to the user is received. A content item having a bid specifying an amount that a content item provider is willing to pay for distribution of the content item to a user in the first engagement category is identified. A determination is made, based on the outcome of an auction performed using the bid, that the bid is a winning bid. The content item is provided for presentation in response to the request.