Cross-Device Task Data Aggregation for Historical Information Management
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Solution Overview
Problem
Users face challenges in efficiently organizing and utilizing historical information scattered across various electronic devices, requiring high management capabilities and leading to reduced information utilization efficiency.
Innovation Solution
A data processing method that determines a user task based on cross-device multimodal historical interactive information, performs aggregation processing on target data, and generates a target processing result using a large model to provide intelligent task extraction and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If information is stored across various electronic devices, then information storage capacity increases, but information organization difficulty increases
Solution Approach 1:
The patent merges information from multiple electronic devices into a unified data set by extracting interaction information across devices and consolidating them into a single organized structure. This allows users to access information from any device through one unified interface, resolving the contradiction between distributed storage and organization difficulty
Solution Approach 2:
The patent introduces an intermediary processing system that acts as a mediator between distributed device storage and user access. This system extracts, standardizes, and organizes interaction information from various devices, creating a unified data set that can be efficiently queried and accessed without requiring users to manually organize information across devices
2Ease of operation
If manual organization of historical information is performed, then information management capability improves, but time consumption increases
Solution Approach 1:
The patent implements self-service by automatically extracting interaction information from various devices and organizing it into a unified data set without requiring manual user intervention. The system autonomously performs information consolidation, tagging, and structuring, eliminating the time users would otherwise spend on manual organization while maintaining high information management capability
Solution Approach 2:
The patent performs preliminary organization of interaction information as it is collected from devices, preparing the data in advance for future retrieval. By pre-processing and structuring information during the collection phase rather than during user access, the system reduces the time required for information management operations
3Measurement precision
If cross-device multimodal data is integrated, then information retrieval accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent segments the complex task of cross-device multimodal data integration into distinct processing stages: extraction of interaction information from individual devices, standardization of data formats, organization into unified data sets, and retrieval processing. This segmentation manages complexity by breaking down the overall process into manageable, specialized components while maintaining high retrieval accuracy
Data Source
AI summary
A data processing method includes determining a user task based on interactive information of a user, and determining, based on the user task, at least one piece of target data from a plurality of pieces of data included in a data set of the user. The plurality pieces of data are determined based on historical cross-device multimodal historical interactive information related to the user and include prediction task information. The method further includes performing aggregation processing on the at least one piece of target data to obtain an aggregation processing result, and generating a target processing result corresponding to the user task based on the aggregation processing result.