Predictive Search Query Prepopulation for Media Access

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Solution Overview

Problem

Users face increased effort when accessing media content through search queries compared to selecting content from predefined media libraries or queues in media distribution services, as search queries require more input actions than navigating to a selection.

Innovation Solution

A prediction service determines and prepopulates search queries likely to be input by users based on user groupings, recent events, media consumption histories, and search histories, allowing users to access content with minimal additional input by populating the search input field with the predicted query.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If users input search queries to access media content, then users can access desired content flexibly, but user input effort increases compared to selecting from predefined selections

Engineering Contradiction:
Improvecontent access flexibilityVSAvoiduser input effort
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system performs preliminary actions by predicting what content the user wants to access and proactively presenting it in the navigation aid before the user actually searches for it. This anticipatory approach allows users to access content with minimal input effort while maintaining the flexibility of search-based access.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If users manually input search queries, then precise content retrieval is achieved, but time and input actions increase

Engineering Contradiction:
Improvecontent retrieval accuracyVSAvoidsearch input time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system uses feedback from user behavior patterns, search histories, and contextual information to continuously improve its predictions. By analyzing what users actually search for and access, the system refines its prediction accuracy, presenting increasingly precise content recommendations that match user intent without requiring manual query input.

Inventive Principle:
Principle #23Feedback

3Adaptability or versatility

If the system presents many content options, then user choice increases, but navigation complexity increases

Engineering Contradiction:
Improvecontent selection varietyVSAvoidnavigation interface complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The navigation aid presents different types of content suggestions in different locations and formats within the interface, optimizing the presentation based on the specific content type and user context. This localized optimization allows the system to maintain high content variety while keeping the navigation interface simple and intuitive for each specific interaction.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS11250081B1Predictive search
Publication Date: 2022.02.15 AMAZON TECH INC
  • US11250081B1 patent drawing
  • US11250081B1 patent drawing
  • US11250081B1 patent drawing

AI summary

Disclosed are various embodiments for a search query prediction service. User accounts are organized into various groupings. Candidate search queries are determined for the groups into which a user account is included. A predicted search query is selected from the candidate search queries and communicated to the client before an input of a portion of a search query by a user of the client.