Comment-Derived Q&A Aggregation for Preset Object Interfaces
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Solution Overview
Problem
Existing systems require active user input to generate question-and-answer content, resulting in limited content availability and poor user experience.
Innovation Solution
Acquire and aggregate question-and-answer content from comment data associated with media content related to a preset object, such as a restaurant or scenic spot, using methods like data analysis, conversion, and modeling to enrich the content displayed on an interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users actively trigger and fill in question-and-answer content, then the system can provide personalized responses, but the content availability remains limited
Solution Approach 1:
The system automatically extracts question-and-answer content from comment data without requiring users to manually input questions. The extraction module processes comment data autonomously to generate question-and-answer pairs, allowing the system to serve itself rather than requiring active user participation for content generation.
Solution Approach 2:
The system performs preliminary extraction and processing of question-and-answer content from comment data before users need it. By pre-processing the comment data and extracting relevant Q&A pairs in advance, the system ensures content availability without requiring users to actively trigger content generation at the moment of need.
2Quantity of substance
If the system aggregates and displays question-and-answer content from comment data, then content availability increases, but the system complexity increases
Solution Approach 1:
The system extracts only the necessary question-and-answer content from the comment data using an extraction module. This selective extraction process filters and isolates relevant information while leaving unrelated comment data untouched, thereby increasing content availability without processing the entire comment data set and reducing unnecessary system complexity.
Solution Approach 2:
The extraction module serves as an intermediary between the comment data and the display interface. It processes and transforms the raw comment data into structured question-and-answer content that can be displayed to users, simplifying the overall system architecture by introducing a dedicated intermediate processing layer.
Data Source
AI summary
Embodiments of the present disclosure provide an information processing method and apparatus, a device, an electronic device, a computer-readable storage medium, a computer program product, and a computer program. The method includes: acquiring comment data corresponding to at least one target media content, where the target media content is media content that has an association with a preset object; acquiring at least one question-and-answer content related to the preset object in the comment data, where the question-and-answer content includes question content and at least one answer content for the question content; aggregating and displaying the at least one question-and-answer content on an interface associated with the preset object.