Contextual Title Generation for Searchable Communication Items
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication services fail to index communication items, such as chats and videos, in an easily searchable manner due to lack of contextual titles, requiring users to manually sift through lengthy content for relevant information.
Innovation Solution
Automatically generate personalized contextual titles for communication items based on relevance and metadata, integrating with productivity applications to enhance search and storage efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If communication items are stored without contextual titles, then storage space is saved, but searchability and ease of information retrieval deteriorate
Solution Approach 1:
The patent extracts only the essential contextual information from communication items and stores it as concise titles, separating the critical search metadata from the full content. This allows efficient indexing and retrieval while minimizing storage overhead by storing only the necessary summary information rather than duplicate full content.
Solution Approach 2:
The system performs preliminary processing of communication items to generate contextual titles before storage. By pre-extracting and preparing relevant metadata and summaries in advance, the system enables fast search and retrieval operations without requiring complex real-time processing during user queries.
2Productivity
If contextual titles are generated for all communication items, then search efficiency is improved, but computational resources and processing time increase
Solution Approach 1:
The patent applies different processing quality levels to different communication items based on their characteristics. Not all items require the same level of analysis - the system adjusts the depth of contextual extraction and title generation according to the specific content type, length, and complexity, thereby optimizing computational resource usage while maintaining search efficiency.
Solution Approach 2:
The system generates contextual titles for communication items that require them, while skipping or simplifying processing for items that already have sufficient metadata or are clearly irrelevant. This selective approach prevents wasteful processing of all items uniformly, instead applying computational effort only where necessary to achieve effective search functionality.
3Measurement precision
If communication items are indexed with detailed context, then information retrieval accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the contextual information into distinct, manageable components such as entities, topics, timestamps, and key phrases. By dividing the complex task of contextual analysis into separate processing stages and components, the system achieves accurate indexing while reducing the complexity of individual processing operations through modular architecture.
Data Source
AI summary
Technology is disclosed to programmatically determine and generate, for a target communication item, a contextual title that is relevant to a user, optimally formatted for ease of indexing and use by certain software applications, and easy for the user to consume. The contextual title is generated based on a comparison of the target communication item and related communication items. In this manner, the contextual title generated for the target communication item is different from existing contextual titles of the related communication items, yet related enough to associate the target communication item to certain related communication items. In this manner, contextual titles are generated without a user having to open or edit metadata associated with the communication item, thereby conserving bandwidth associated with a user engaging with high-bandwidth content from the target communication item and battery associated with consuming and editing the document.