User Intent Prediction Overlay for Faster Webpage Task Completion
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Solution Overview
Problem
The manual process of users visiting multiple webpages to complete a task is inefficient, leading to excessive client device usage, latency issues, and difficulty in identifying relevant information, especially on devices with small displays or software keyboards.
Innovation Solution
A system predicts user intent based on webpage navigation and content properties, providing relevant content recommendations through an overlay, and optionally precaches content for timely display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually navigate to multiple webpages to complete a task, then they can access diverse information sources, but it results in excessive client device usage, latency issues, and extended time consumption
Solution Approach 1:
The system performs preliminary actions by proactively identifying and preparing relevant webpages and content before the user needs them. It analyzes the current webpage context, predicts user intent, and pre-loads or pre-processes relevant information from multiple sources, so that when users need information, it is already prepared and immediately available, eliminating the time-consuming manual navigation process.
2Loss of information
If users manually identify relevant webpages, then they can find necessary information, but it leads to excess usage of power resources and computational resources
Solution Approach 1:
The system implements self-service by automatically analyzing the current webpage context, user behavior patterns, and task requirements to identify relevant information sources without user intervention. It autonomously determines which webpages and content are relevant, pre-processes this information on the server side, and delivers it to the user, thereby eliminating the need for users to manually search and significantly reducing client device power and computational resource consumption.
3Adaptability or versatility
If the system provides comprehensive content recommendations, then user intent is better satisfied, but it increases device complexity and processing requirements
Solution Approach 1:
The system introduces an intermediary layer between the user and the complex information processing requirements. This intermediary component analyzes webpage context, user behavior, and task requirements to generate intent predictions, then uses these predictions to selectively retrieve and present relevant content from multiple sources. The intermediary abstracts the complexity of comprehensive content analysis from the user interface, providing adaptive content recommendations without requiring the user's device to handle the full computational burden.
Data Source
AI summary
Techniques are described herein for determining a predicted intent of a user and displaying additional content selected based on the predicted intent of the user. A method includes: receiving information identifying a webpage that a user is visiting and a navigational path of the user in navigating to the webpage; determining a predicted intent of the user based on the information identifying the webpage that the user is visiting and the navigational path of the user in navigating to the webpage; selecting additional content based upon the predicted intent of the user; and displaying an overlay, on a portion of the webpage, that includes the additional content.