Content Diversity Metric Evaluation System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional approaches in computer technology often present users with content items from the same provider consecutively, leading to a lack of diversity, which can result in decreased user engagement and inaccurate evaluation of content relevance.
Innovation Solution
A system and method for evaluating content diversity based on content properties, involving the acquisition of a set of properties associated with content items, selection of property combinations, determination of unique properties, and generation of a diversity metric to rank or compare content items for presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content items from the same provider are presented consecutively to users, then the content delivery process is simple and efficient, but the content diversity decreases and user engagement is reduced
Solution Approach 1:
The patent segments the content stream into different provider groups and introduces diversity metrics that evaluate content across multiple segments. By dividing the content delivery into ranked portions with diversity constraints, the system maintains efficiency while improving content variety through structured segmentation of the content flow.
Solution Approach 2:
The patent changes the evaluation parameters from simple content relevance to composite diversity metrics that incorporate provider variety, content type distribution, and user engagement patterns. This parameter transformation enables the system to optimize for both efficiency and diversity simultaneously by adjusting the weightings in the diversity calculation.
2Device complexity
If conventional content ranking algorithms are used, then the implementation is straightforward and computationally efficient, but the content diversity evaluation is inaccurate and insufficient
Solution Approach 1:
The patent performs preliminary calculations of diversity metrics before final content selection and ranking. By pre-computing provider diversity scores, content type distributions, and engagement predictions for candidate content batches, the system prepares diversity evaluation data in advance, reducing real-time computational complexity while maintaining accurate diversity measurement.
Solution Approach 2:
The patent introduces diversity metric calculations as an intermediary layer between conventional ranking algorithms and content delivery. This intermediary component translates complex diversity requirements into simplified scoring mechanisms that work seamlessly with existing ranking systems, maintaining implementation simplicity while enhancing evaluation accuracy.
Data Source
AI summary
Systems, methods, and non-transitory computer-readable media can acquire a set of properties associated with a set of content items. A plurality of property combinations can be selected from the set of properties. A plurality of numbers of unique properties associated with the plurality of property combinations can be determined. A diversity metric for the set of content items can be generated based on at least some of the plurality of numbers of unique properties associated with the plurality of property combinations.