Online System Content Item Generation from User Profile Data
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Solution Overview
Problem
Conventional online systems rely on publishing users to create content items, which can be time-consuming and resource-intensive, limiting the effectiveness of content distribution, especially for users with limited resources, and restrict content access to those who visit the dedicated page, reducing the reach of sponsored content.
Innovation Solution
An online system generates content items for presentation to other users based on content provided by the user, using objectives specified by the user, prior user interactions, and additional content determined by the system, to increase interaction likelihood and reach beyond the original page visitors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If publishing users create content items manually, then content customization is improved, but time consumption and resource usage increase
Solution Approach 1:
The system automatically generates content items by extracting information from the publishing user's profile page and existing content, eliminating the need for manual content creation. The system serves itself by using the publishing user's own profile data and previously posted content as the foundation for generating new content items, thereby reducing time consumption while maintaining customization through the unique profile information.
Solution Approach 2:
The system performs preliminary extraction and organization of information from the publishing user's profile page and existing content before generating content items. By pre-processing the profile data, interests, and previously posted content, the system prepares the necessary materials in advance, enabling rapid automated content generation without requiring manual intervention during the content creation process.
2Productivity
If publishing users create multiple content items, then content distribution effectiveness is improved, but resource consumption increases
Solution Approach 1:
The system automatically generates multiple content items by systematically extracting and recombining information from the publishing user's profile, interests, and previously posted content. This self-service approach enables the system to produce numerous content items without requiring proportional increases in human resources, as the automation process efficiently handles the quantity generation while maintaining relevance through profile-based customization.
Solution Approach 2:
The system varies content parameters such as format, tone, and specific information highlighted by extracting different combinations of profile data, interests, and existing content. This allows the generation of multiple diverse content items from a single profile foundation, increasing distribution effectiveness without requiring proportional resource investment for each individual content item.
3Ease of operation
If content is distributed only through page access, then user control is improved, but content reach is limited
Solution Approach 1:
The system segments the content distribution process into two parts: (1) maintaining user control over their profile and content on the page, and (2) automatically distributing generated content items through the online system's user network. This segmentation allows users to retain control over their personal information while the system handles the distribution function separately, expanding reach without compromising user control over their profile data.
Solution Approach 2:
The system acts as an intermediary between the publishing user's profile content and the broader user network. It extracts information from the profile page and automatically generates content items that are distributed to other users through the system's messaging and notification mechanisms, thereby expanding content reach while the profile page remains the controlled source of information.
4Loss of time
If content items are generated automatically, then time consumption is reduced, but content customization may be compromised
Solution Approach 1:
The system customizes automatically generated content items by extracting and incorporating specific parameters from the publishing user's profile, such as interests, demographic information, and previously posted content themes. By varying these parameters across different content items while maintaining the automated generation process, the system achieves both time efficiency and relevant customization tailored to each user's profile.
Solution Approach 2:
The system performs preliminary extraction and analysis of the publishing user's profile information, interests, and content patterns before generating content items. This pre-processing ensures that the automated generation is grounded in accurate user-specific data, allowing the system to maintain high levels of customization by leveraging the预先 extracted and organized profile parameters.
Data Source
AI summary
An online system maintains a page of content for a user that includes content provided to the online system by the user. To allow the user to more easily present content items to other online system users, the online system receives an objective specifying a desired interaction by users presented with the content item from the user and generates a set of content items from content included on the page. One or more content items of the set are selected and a budget for presenting the selected one or more content items is received, and the online system includes one or more of the selected content items in selection processes along with bid amounts based on the budget that select content for presentation to other users. The online system may update the selected content items of the set over time as content included on the page is modified.