Person-Centric Index System for Unified Information Retrieval
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Solution Overview
Problem
The rapid growth of information across public, semi-private, and private spaces leads to information overload, with existing methods failing to efficiently organize, retrieve, and present relevant information due to segregation and lack of meaningful connections between different data sources.
Innovation Solution
A person-centric INDEX system that cross-links data from various spaces to create a unified, dynamic information universe relevant to the individual, automatically generating and completing tasks by recognizing user intent and integrating information from public, semi-private, and private domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If information is organized in segregated spaces (public, semi-private, private), then information storage and management become feasible, but information retrieval efficiency deteriorates due to lack of meaningful connections between related information
Solution Approach 1:
The patent merges information from segregated public, semi-private, and private spaces into a unified person-centric information universe. The system integrates emails, social media posts, calendar events, and other data sources into a single coherent structure organized by person relationships, eliminating the need to search across multiple segregated spaces and significantly reducing information retrieval time.
Solution Approach 2:
The patent introduces an intermediary indexing system that creates meaningful connections between information from different segregated spaces. This intermediary layer uses person-centric relationships to link related information across email, social media, calendar, and other private spaces, enabling efficient retrieval without requiring users to navigate through multiple segregated information sources.
2Ease of operation
If conventional application-centric or domain-centric methods are used to organize information, then information within each application or domain is easily accessible, but users must constantly switch between different applications and spaces to complete tasks
Solution Approach 1:
The patent creates a universal person-centric information access system that works across multiple applications and domains simultaneously. Instead of requiring separate access methods for email, social media, calendar, and other applications, the system provides a unified interface that retrieves and presents information from all these sources based on person relationships, enabling users to complete tasks without switching between applications.
Solution Approach 2:
The patent transitions from application-centric or domain-centric organization to a person-centric organizational dimension. This dimensional change restructures information access from horizontal application boundaries to vertical person relationship hierarchies, allowing users to access all relevant information about a person across different applications and domains through a single unified interface.
3Loss of information
If users manually search through different private spaces to piece together information about a person or event, then complete information can be obtained, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent performs preliminary actions by automatically indexing and organizing information from multiple private spaces in advance, creating a pre-structured person-centric information universe. When users need information about a person or event, the system has already prepared and linked all relevant information from emails, social media, calendar events, and other sources, eliminating the need for users to manually search and piece together information.
Solution Approach 2:
The patent implements self-service by enabling the system to automatically retrieve, organize, and present complete information about persons and events without requiring manual user intervention. The system autonomously searches across different private spaces, establishes person relationships, and assembles complete information sets, allowing users to obtain comprehensive information instantly without tedious manual searching.
Data Source
AI summary
The present teaching relates to automatically generating and completing a task. In one example, an input related to a person is received. An intent associated with the input is obtained. A task is automatically generated based on the input and the intent. In another example, a task automatically created based on an intent of a person is received. A task action list is obtained from the task. The task action list includes at least one action to be performed. Each of the at least one action is performed in accordance with the intent of the person.