Predictive Text Completion for Mobile Search Queries

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Solution Overview

Problem

Mobile device users face difficulties with search technologies designed for conventional online use, as they struggle with displaying appropriate content, entering queries, and navigating in environments adapted for full screen displays and keyboards, and Internet search engines fail to optimally deliver search results for mobile communication facilities.

Innovation Solution

A method and system for presenting an affinity program enrollment opportunity on a mobile communication facility based on navigation requests, providing sponsored affinity program content, and offering incentives for interactions with this content, utilizing a wireless search platform that integrates location-based services and user data to enhance search capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional online search technologies are used on mobile devices, then search engine functionality is available, but user interaction and content display are difficult and inappropriate for mobile environments

Engineering Contradiction:
Improvesearch technology adaptabilityVSAvoiduser interaction difficulty
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent adapts search technology specifically for mobile devices by creating mobile-optimized search interfaces and result displays. Instead of forcing mobile users to interact with desktop-designed interfaces, the system tailors the user experience to mobile constraints including smaller screens, limited input methods, and different usage patterns. This local adaptation resolves the contradiction by making search functionality both adaptable to mobile platforms and easy to operate within those constraints.

Inventive Principle:
Principle #3Local quality

2Productivity

If mobile devices use conventional search interfaces, then search functionality is provided, but content display and navigation are problematic due to small screens and lack of physical keyboards

Engineering Contradiction:
Improvesearch result deliveryVSAvoidquery entry and navigation
Core Design Contradiction:
ProductivityVSEase of operation

Solution Approach 1:

The patent implements predictive text completion that automatically suggests and completes search queries based on user input patterns and historical data. This self-service mechanism reduces the manual effort required for query entry on mobile devices, compensating for the absence of physical keyboards. The system serves itself by anticipating user intent and providing completion suggestions, thereby improving both productivity in delivering relevant results and ease of operation in entering queries.

Inventive Principle:
Principle #25Self-service

3Area of stationary object

If mobile search uses full-screen display adaptations, then content visibility improves, but interaction complexity increases due to limited input methods

Engineering Contradiction:
Improvedisplay area utilizationVSAvoidinput method complexity
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent employs predictive text completion that performs preliminary actions by suggesting complete queries before the user finishes typing. This advance provision of completion options reduces the complexity of input methods needed, as users can select from suggestions rather than manually entering every character. The predictive functionality prepares potential completions in advance, resolving the contradiction between maximizing display area utilization and minimizing input method complexity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9703892B2Predictive text completion for a mobile communication facility
Publication Date: 2017.07.11 LEMON INC(GB)
  • US9703892B2 patent drawing
  • US9703892B2 patent drawing
  • US9703892B2 patent drawing

AI summary

A system predicts a search query term, wherein the prediction is based at least in part on a plurality of keystrokes entered on a mobile communication facility and wherein the prediction is further based at least in part on information relating to the mobile communication facility and/or its user.