Predictive Query Completion With Conditional Search Results

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Solution Overview

Problem

Existing search systems require multiple user inputs to provide query suggestions and search results, leading to excessive bandwidth usage and potential display of irrelevant results due to lack of predictive criteria.

Innovation Solution

Implement a system that provides search results based on prediction criteria independent of user selection, using timers, probabilities, or language models to determine when to display search results associated with query suggestions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If search results are provided with each query suggestion request, then user information needs are addressed, but bandwidth usage increases excessively

Engineering Contradiction:

Improveuser information need satisfactionVSAvoidbandwidth usage

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary actions by providing query suggestions first, then conditionally providing search results only when prediction criteria are met. This staged approach allows the system to prepare potential results in advance but only transmit them when necessary, reducing unnecessary bandwidth consumption while maintaining user information needs satisfaction.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system changes the parameter of result provision from continuous (with every query suggestion) to conditional (based on prediction criteria such as time thresholds, probability thresholds, or language model confidence scores). This parameter change optimizes bandwidth usage by transmitting data only when the predicted user intent strongly suggests the user wants to see results.

Inventive Principle:

Principle #35Parameter changes

2Reliability

If search results are displayed with each query suggestion, then user needs are met, but search result blindness and topic drift occur

Engineering Contradiction:

Improveuser information need satisfactionVSAvoidsearch result blindness and topic drift

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The system uses feedback mechanisms by monitoring user interaction patterns, pause durations, and query modification behaviors to determine when to display search results. This feedback loop allows the system to adapt to user intent dynamically, displaying results only when user behavior indicates readiness to view them, thereby preventing search result blindness and topic drift.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system provides query suggestions as preliminary actions before displaying search results. By presenting suggestions first and using prediction criteria to gauge user interest, the system prepares the user mentally and contextually before revealing results, preventing premature or irrelevant result display that causes topic drift.

Inventive Principle:

Principle #10Preliminary action

3Loss of energy

If multiple user inputs are required for query suggestions and search results, then system resources are conserved, but user operation complexity increases

Engineering Contradiction:

Improvesystem resource usageVSAvoiduser input requirements

Core Design Contradiction:

Loss of energyVSEase of operation

Solution Approach 1:

The system applies self-service by using prediction criteria to automatically determine when to provide search results without requiring explicit user commands. The system monitors user behavior patterns and autonomously decides when results should be displayed, reducing the number of explicit user inputs needed while maintaining efficient resource usage through conditional result provision.

Inventive Principle:

Principle #25Self-service

4Loss of energy

If prediction criteria are used to determine search result display, then bandwidth usage is reduced, but system complexity increases

Engineering Contradiction:

Improvebandwidth usageVSAvoidprediction criterion implementation

Core Design Contradiction:

Loss of energyVSDevice complexity

Solution Approach 1:

The system segments the prediction criterion implementation into multiple independent components: time-based prediction, probability-based prediction, and language model-based prediction. Each component can be implemented separately and combined as needed, reducing overall system complexity while enabling sophisticated bandwidth optimization through conditional result display.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12566784B2Predictive query completion and predictive search results

Publication Date: 2026.03.03 GOOGLE LLC

AI summary

Methods, systems, and apparatus, including computer program products, for processing search query suggestions. In one aspect, a search service provides query suggestions responsive to a query suggestion request from a client device, and determines if a prediction criterion is met. The prediction criterion is independent of a user selection of a query suggestion provided in response to one or more query suggestion requests. In response to determining that the prediction criterion is met, the search system provides search results to the client device. The search results are responsive to one of the query suggestions provided in response to the query suggestion request or one or more previous query suggestion requests.