Intent-Based Card Generation 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 and retrieve relevant information due to segregation of data sources and lack of meaningful connections between them.
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, using intent-based modules to generate cards that present information in a coherent and organized manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If information is organized in segregated manner across different spaces and applications, then each application can maintain its own data structure and access methods, but users must search multiple segregated spaces to piece together information, increasing time and effort required
Solution Approach 1:
The patent merges information from multiple segregated spaces (emails, contacts, calendars, social media, web) into a unified person-centric space. The system creates a global search index that combines data from all these sources, allowing users to search for information across all spaces simultaneously rather than searching each space separately. This resolving of the contradiction combines the benefits of maintaining separate data structures while eliminating the need to search multiple segregated spaces.
Solution Approach 2:
The patent introduces a person-centric space as an intermediary layer between users and the original segregated data sources. This intermediary space maintains connections to all original spaces while presenting information in a unified manner. The system acts as a mediator that translates queries into searches across multiple underlying spaces and aggregates results, reducing the time users spend searching while preserving the integrity of original data structures.
2Adaptability or versatility
If conventional application-centric or domain-centric organization is used, then each application can optimize its specific functionality, but users must go back and forth between different applications to complete tasks
Solution Approach 1:
The patent creates a universal search interface that can access and query information from multiple different applications and domains through a single person-centric space. The system provides a unified search experience that works across emails, contacts, calendars, social media, and web content, allowing users to complete tasks without switching between different applications. This maintains the versatility of application-specific functionality while dramatically improving ease of operation.
Solution Approach 2:
The patent segments information retrieval into two parts: the search and presentation layer (person-centric space) and the data storage layer (original segregated spaces). This segmentation allows the search layer to provide unified access while the data layer maintains application-specific optimizations. The system can segment queries to search relevant spaces and aggregate results, maintaining both versatility and ease of operation.
3Reliability
If information is stored in segregated private spaces, then data security and privacy are maintained, but users must search different private spaces to piece together information about a situation
Solution Approach 1:
The patent creates a person-centric space as an intermediary that provides unified access to information across multiple private spaces while maintaining security. The system acts as a mediator that queries relevant private spaces (emails, contacts, calendars) and aggregates results in a secure, personalized environment. This maintains data security by keeping information in its original private locations while dramatically improving retrieval efficiency through a single unified search interface.
Data Source
AI summary
The present teaching relates to generating a card based on intent. In one example, a request is received for generating a card to be provided to a user. Intent of the user with respect to the card is obtained. One or more modules are selected to be put into the card based on the intent. The card is generated based on the selected one or more modules.