Multi-User Intent Fusion for Accurate Target File Generation
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Solution Overview
Problem
Existing data generation methods involving multiple participants often result in low correlation between participants, leading to generated data that may not meet the text description or expectations of all participants, affecting the overall quality of the final work.
Innovation Solution
A method and device that identify a first user intent from multiple data entries, using various processing strategies to integrate and generate a target file that aligns with the collective user intents, considering factors like user priorities, data types, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a discrete or serial working method is adopted where each participant focuses on their own task, then the workflow is simple to manage, but the correlation between participants is low and the generated data may not meet the text description or expectations
Solution Approach 1:
The patent merges multiple participants' data entries and intents into a unified processing framework. The system combines multiple data entries from different users, identifies their respective intents, and integrates them through a centralized processing model that considers all participants' requirements simultaneously, thereby improving data generation quality while maintaining workflow simplicity
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between multiple participants. This intermediary component receives data entries from various users, processes their intents through a unified model, and generates output that satisfies all participants' requirements, resolving the contradiction between simple workflow management and high-quality data generation
2Ease of operation
If multiple participants iterate and optimize the data sequentially, then each participant can focus on their specific task, but the process is time-consuming and the final output may not meet all expectations
Solution Approach 1:
The patent performs preliminary action by identifying and processing all participants' intents simultaneously at the beginning, rather than sequentially iterating through each participant's optimizations. The system analyzes multiple data entries and their associated intents in parallel, formulates a comprehensive processing strategy, and generates the final output in one coordinated operation, significantly reducing the time loss associated with sequential iteration
Solution Approach 2:
The patent applies dynamics by enabling the system to adaptively adjust processing strategies based on the collective intents of multiple participants. The processing model dynamically integrates different requirements and optimizes the generation process according to the combined input, allowing task specialization to be maintained while eliminating the time-consuming sequential iteration process
3Productivity
If each participant focuses only on their own task with low correlation, then the individual task execution is efficient, but the generated data does not meet the text description or expectations of all participants
Solution Approach 1:
The patent implements universality by creating a multi-functional processing system that handles multiple participants' diverse requirements simultaneously. The unified processing model serves multiple functions: it identifies different types of intents, processes various data entry formats, and generates output that satisfies all participants' expectations, thereby maintaining individual task efficiency while ensuring alignment with collective user intent
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors and integrates the intents expressed in multiple data entries. By analyzing the collective feedback from all participants' inputs and adjusting the generation process accordingly, the system maintains high individual task efficiency while ensuring the final output aligns with the combined expectations of all users
Data Source
AI summary
A data processing method includes: in response to obtaining multiple data entries from multiple users, identifying a first user intent represented by the multiple data entries; performing generation processing based on the first user intent to obtain a target file, wherein the target file corresponds to a user intent represented by at least one of the multiple data entries.