Automated Comparison Poll Generation for Content Items
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Solution Overview
Problem
The preparation of comparison polls for large bodies of content items is resource-intensive and can lead to inconsistencies, limiting scalability and causing delays in presenting new content to users, especially when authors are not available or when content is retrieved from external sources.
Innovation Solution
Automated techniques for generating comparison polls by evaluating content items to identify relevant topics and calculating comparison relevance scores, allowing for the generation of contextually relevant comparison questions without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated techniques are used to generate comparison polls, then resource costs are reduced and scalability is improved, but the complexity of the system increases
Solution Approach 1:
The system automatically identifies topics in content items, generates comparison questions, and presents polls to users without requiring human author intervention. The automated poll generation system evaluates content items, extracts topics, formulates comparison questions, and manages the entire poll lifecycle independently, enabling self-service operation that dramatically improves productivity while managing complexity through standardized automated processes.
Solution Approach 2:
The patent replaces the manual mechanical process of author-driven poll creation with an automated computational system. Instead of authors manually reading content, identifying topics, and writing comparison questions, the system uses automated topic identification algorithms, comparison generation logic, and computer-based presentation mechanisms to substitute the entire manual workflow with an efficient automated process.
2Loss of time
If automated techniques are used to generate comparison polls, then consistency is enhanced and delays are reduced, but the manufacturing precision of poll quality may deteriorate
Solution Approach 1:
The system performs preliminary evaluation of content items to identify topics and generate comparison questions before content deployment. By pre-processing content items and preparing comparison polls in advance using automated topic identification and question generation, the system eliminates delays that would occur if polls were created after content arrival, while maintaining quality through standardized automated processes that ensure consistent poll structure and relevance.
Data Source
AI summary
A content item presented to a user may involve two or more topics, such as news articles mentioning athletes or actors. Users may enjoy expressing opinions about a comparison of the topics, such as personal preferences or an evaluation of talent. Presented herein are techniques for automatically generating, for the content item, a poll among the topics of the content item. The respective comparisons of a comparison set are evaluated for the topics of the content item, and a comparison relevance score is computed identifying the relevance of the comparison of the topics. The comparison having the highest relevance for the topics is selected, and a comparison question is formulated and presented to the user with the content item. Results may be tabulated and presented for the topics of the content item. These techniques facilitate user expression about the content item without depending upon user-authored polls for each content item.