Dynamic Social Interface Ranking via Scoring Model
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Social networking systems face challenges in engaging users with pages, applications, and groups due to static interfaces that do not adapt to individual user preferences, leading to irrelevant content interactions and reduced user engagement.
Innovation Solution
A social networking system that enables advertisers to boost the ranking of items in user interfaces, such as bookmarks, notifications, and messages, based on expected click-through rates and fee arrangements, using a scoring model that incorporates user profile information and sponsored item information to prioritize relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a static interface with fixed ordering of bookmarks is displayed to all users, then the interface is simple to implement and maintain, but user engagement is reduced because the interface does not adapt to individual user preferences
Solution Approach 1:
The patent transforms the static interface into a dynamic one by implementing a scoring model that automatically adjusts bookmark ordering based on user interactions. The system continuously updates relevance scores based on click-through rates and user behavior, allowing the interface to adapt to individual user preferences without requiring manual configuration. This resolves the contradiction by making the interface both adaptive and automatically managed.
Solution Approach 2:
The system enables itself to optimize the interface ordering automatically through the scoring model and machine learning algorithms. Rather than requiring users to manually configure their preferences or the system to rely on static configurations, the interface continuously self-adjusts based on observed user behavior patterns, click-through rates, and engagement metrics. This self-service capability resolves the contradiction by providing adaptability without increasing operational complexity.
2Adaptability or versatility
If users are required to manually set up and manage their own preferences, then the interface can be customized to user preferences, but pages, applications, and groups have no options to influence users to engage with their content
Solution Approach 1:
The patent introduces an intermediary scoring model that mediates between user preferences and content provider needs. The scoring model incorporates signals from both user behavior and content provider promotions, allowing pages, applications, and groups to influence visibility through sponsored boosts while still respecting user preferences. This intermediary mechanism resolves the contradiction by enabling content providers to influence engagement without forcing manual user configuration.
Solution Approach 2:
The system changes the parameters of interface ordering from purely user-preference-based to a composite scoring system that includes user behavior, click-through rates, and sponsored boost factors. This parameter change allows pages and applications to influence user engagement through controlled adjustments to their visibility parameters, while the overall interface remains adaptive to user preferences through the multi-factor scoring model.
3Productivity
If sponsored items are integrated into the interface, then user engagement is enhanced by promoting relevant content, but the interface complexity increases due to the need for scoring models and ranking algorithms
Solution Approach 1:
The patent merges the sponsored content promotion functionality with the existing bookmark interface by integrating the scoring model into the same ranking mechanism. Rather than creating a separate sponsored section or parallel interface, the system combines organic and sponsored rankings into a unified scoring model that processes all items through the same algorithmic framework. This merging approach resolves the contradiction by enhancing user engagement while minimizing interface complexity through unified processing.
4Ease of manufacture
If the same static interface is displayed to all users, then the system is easy to implement and maintain, but pages, applications, and groups struggling to engage users have no mechanism to improve their visibility
Solution Approach 1:
The system provides automatic optimization of content visibility through the scoring model, eliminating the need for complex manual configuration or separate promotion systems. Pages, applications, and groups can improve their visibility by optimizing their content quality and user engagement metrics, which the scoring model automatically recognizes and rewards. This self-service approach resolves the contradiction by providing adaptability and visibility control while maintaining ease of implementation through automated processing.
Data Source
AI summary
A sponsored interface of a social networking system includes links to different items accessible in the system, arranged by category. Each of the items is associated with a category from a plurality of categories. The social networking system may enable advertisers to boost the ranking of an item in the interface per user, such as a bookmark in a menu of bookmarks, a notification in a menu of notifications, and/or a message in a menu of messages, based on a fee arrangement. The items in the interface are then ranked based on expected fee maximization, taking into account an expected click-through rate.