Webpage Annotation Reconciliation for Adaptive Writing Assistance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a lack of effective tools for providing advanced writing assistance to users on web-based content, as existing tools are limited to specific applications and do not adapt well to different websites or web-based content structures.
Innovation Solution
A data processing system that analyzes the structure of a webpage, constructs a model to monitor changes, extracts text for analysis, sends it to a server for annotations, and updates these annotations to adapt to changes, rendering them back over the webpage for improved writing assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If advanced writing assistance tools are provided for web-based content, then user experience is improved, but the complexity of adapting to different website structures increases
Solution Approach 1:
The patent creates a universal annotation system that works across different web-based content platforms (social media, blogs, news sites) by implementing a platform-agnostic architecture. The system uses generic web APIs and standardized data structures to interact with various websites, allowing the same writing assistance functionality to operate universally across diverse platforms without requiring platform-specific implementations.
Solution Approach 2:
The patent introduces an intermediary annotation layer that sits between the user and the web content. This annotation system acts as a mediator that can be overlaid on any website structure, providing writing assistance through a consistent interface while abstracting away the underlying complexity of different website architectures. The intermediary layer handles the adaptation logic, shielding users from structural variations across platforms.
2Measurement precision
If writing assistance tools are tailored to specific websites, then annotation accuracy is improved, but versatility across different platforms deteriorates
Solution Approach 1:
The patent implements local quality by allowing the annotation system to adapt its behavior to specific contexts while maintaining a unified overall structure. The system can adjust annotation parameters, sensitivity, and processing depth based on the local characteristics of each website or content type, ensuring optimal accuracy for each platform without requiring complete customization. This enables the system to be both accurate and versatile simultaneously.
3Reliability
If the system monitors webpage topology changes in real-time, then annotation relevance is improved, but processing overhead increases
Solution Approach 1:
The patent implements periodic monitoring of webpage topology changes rather than continuous real-time monitoring. The system checks for structural changes at predetermined intervals or triggered by specific events (such as user interactions or content updates), allowing annotation relevance to be maintained while significantly reducing the continuous processing overhead. This periodic approach balances reliability with energy efficiency.
4Measurement precision
If annotations are updated frequently to adapt to content changes, then writing assistance accuracy is improved, but system performance deteriorates
Solution Approach 1:
The patent implements a feedback mechanism that monitors content changes and intelligently determines when annotation updates are necessary. The system tracks modifications to the underlying content and only triggers annotation regeneration when changes exceed predefined thresholds or affect annotated elements. This feedback-driven approach maintains high accuracy by updating annotations when needed while avoiding unnecessary processing that would degrade system performance.
Data Source
AI summary
Techniques for providing annotations in a web browser or a native application herein include analyzing the structure of a webpage to determine a topology, constructing a model of the webpage based on the topology configured to automatically monitor the topology and to update the model based on detected changes to the webpage, extracting, from the model, a first text string from textual content of a first editable node, sending at least first portion of the first text string to a server to obtain annotations, detecting that the textual content of the first editable node has been modified by a second text string modifying at least a portion of the textual content, receiving the annotations from the server comprising suggestions for improving the first text string, updating the annotations to produce reconciled annotations by modifying the annotations, and rendering the reconciled annotations over the first editable node.