Group Communication Data Retrieval Formatting Preservation
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Solution Overview
Problem
Current data retrieval systems in messaging platforms fail to capture and preserve formatting data, leading to data and formatting loss during message rendering, and suffer from latency issues due to incorrect parsing of markdown formats and chunked search results, resulting in suboptimal user interfaces.
Innovation Solution
The system generates a data structure to capture and preserve formatting information, uses an index object for efficient message indexing, and renders search results with highlighted search terms within a group-based communication user interface, improving search accuracy and reducing latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If markdown formats are parsed to retrieve formatted text data, then text data with formatting can be retrieved, but latency increases due to incorrect parsing
Solution Approach 1:
The system performs preliminary action by pre-processing text data into structured objects (like MessageObjects and ElementObjects) that preserve formatting information in advance. This allows the search function to directly query structured data without performing time-consuming markdown parsing at query time, thus reducing latency while maintaining formatting data integrity
Solution Approach 2:
The patent introduces intermediary structured objects (MessageObjects, ElementObjects) that act as mediators between the raw text data and the search function. These objects contain both the text content and formatting information in a structured format, allowing the search to operate on structured data rather than parsing unstructured markdown, thereby eliminating the latency issue
2Quantity of substance
If search results are returned in chunks, then large amounts of data can be retrieved, but user interface performance deteriorates
Solution Approach 1:
The patent applies segmentation by dividing search results into structured objects (ElementObjects) that can be efficiently processed and rendered. Each object contains specific formatting and content information, allowing the UI to render only the necessary portions without loading entire chunks of data, thus maintaining responsiveness while handling large result sets
3Manufacturing precision
If formatting data is captured and preserved in data structures, then rendering accuracy improves, but data structure complexity increases
Solution Approach 1:
The patent applies local quality by creating specific data structures (ElementObjects with properties like ElementStyleAttribute) that capture formatting information only where needed in the text. Rather than creating complex global structures, the formatting data is localized to specific elements, achieving high rendering accuracy while keeping the overall structure manageable through targeted, localized data capture
Data Source
AI summary
Methods, apparatuses and computer program products for improving data retrieval in a group-based communication system are described herein. The apparatus is configured to at least receive a first search query comprising a first search string, identify a first index object of a plurality of index objects based at least in part on the first search string, retrieve a first message object based at least in part on the first index object, and cause rendering of the first message object within a group-based communication user interface on a client device based at least in part on at least one element content attribute and at least one element style attribute of the first message object.