Object Interface Q&A Aggregation From Media Comments

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Solution Overview

Problem

Existing systems require users to actively 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, using methods such as data analysis, conversion, and extraction models to enrich the content displayed on an interface.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If users actively trigger and fill in question-and-answer content, then the system can provide personalized responses, but the content availability remains limited

Engineering Contradiction:

Improvecontent availabilityVSAvoiduser active participation required

Core Design Contradiction:

Quantity of substanceVSEase of operation

Solution Approach 1:

The system automatically extracts question-and-answer content from comment data without requiring users to manually create content. The extraction model processes comment data autonomously to generate Q&A pairs, allowing the system to serve itself rather than relying on active user participation for content generation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces an extraction model as an intermediary between comment data and question-and-answer content. This intermediary automatically converts comment data into structured Q&A format, bridging the gap between raw user comments and organized information without requiring direct user input for each Q&A pair.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If the system aggregates question-and-answer content from comment data, then content availability increases, but the complexity of data processing increases

Engineering Contradiction:

Improvequestion-and-answer content volumeVSAvoiddata processing complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent extracts relevant question-and-answer information from the larger dataset of comment data. The extraction model identifies and isolates useful Q&A patterns from the comment stream, separating valuable content from irrelevant data to reduce processing complexity while maintaining content volume.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system transforms comment data into question-and-answer format through parameter changes in the extraction model. By adjusting the model's extraction parameters and thresholds, the system optimizes the balance between content quantity and processing complexity, enabling efficient aggregation without excessive computational overhead.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250342185A1Information processing method and apparatus, device and readable storage medium

Publication Date: 2025.11.06 BEIJING ZITIAO NETWORK TECH CO LTD

AI summary

Embodiments of the present disclosure provide an information processing method, including: acquiring at least one first media content, where the first media content is media content that has an association with an object, the first media content comprises a label corresponding to the object; displaying an interface associated with the object in response to the label being triggered; acquiring at least one first content related to the object, where the at least one first content is acquired from at least one comment data, the comment data comprises a comment of at least one second media content associated with the object, the comment comprises at least one of text, video or audio, and the first content comprises first type content and second type content; and aggregating and displaying the at least one first content on the interface associated with the object.